NVIDIA is searching for several computer vision and deep learning interns to join the learning and perception research team for an internship. We are passionate about research that pushes boundaries but also has impact in the real world. You will work within an amazing and collaborative research team that has a long history of publishing the results of internship projects at top venues in computer vision and machine learning. We have many experienced mentors in the team and our interns often choose to return for another internship. We carefully craft internship projects such that they match the interns' expertise.

What you'll be doing:

• Research, design and implement novel computer vision and machine learning methods.

• Work collaboratively with your mentor.

• Work with product groups to transfer technology.

What we need to see:

• Must be pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.

• Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.

• Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus.

• Knowledge of common machine learning frameworks, such as PyTorch.

• Promising research track record.

• Excellent communications skills.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you!

We are an AA/EEO/Veterans/Disabled employer. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis. ​

Date Posted:

2024-03-19

Country:

Hong Kong

Location:

12/F-13/F, The Bay Hub, 17 Kai Cheung Road, Kowloon Bay, Hong Kong; 12/F-13/F, 太豐匯, 香港九龍灣啟祥道17號

Otis is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at careers@otis.com.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

.

Position Summary

Life Time Personal Training Internship program is designed to for individuals who have a strong desire to make a career in the health and fitness industry. Interns should be looking to acquire an accredited fitness certification an/or degree in a related field. Interns will work closely with the Personal Training Team to learn the skills and abilities needed to be a best in-class fitness professional. Interns will have a dedicated schedule specific to receiving all experiences needed to become a well versed professional. They will observe and have hands on experience opportunities assisting in a variety of Personal Training Services. They will apply all knowledge and experience received to provide a positive member experience that is educational, supporting, and upholds the integrity of the Life Time Brand.                                                                            

Job Duties/Responsibilities

• Reads, watches, engages in all required training's associated with the role and adheres to all company policies, procedures and safety standards.

• Provides fitness floor assistance to all members to ensure safety, provide education, and motivate members       

• Fulfills member service requirements such as fitness assessments and equipment operations, service desk duties and fitness equipment cleaning             

• Promotes personal training programs and services      

• Ensures all members feel competent, confident, and connected by providing superior customer service through complimentary and based services/programming    

• Document your experience each week:  interesting observations, lessons learned, questions for discussion, comments on workouts observed, useful client communication / training techniques, etc. 

• Assist with personal training sessions when appropriate.

• Demonstrate behaviors consistent with Life Time's Mission & Vision, culture and values in all interactions with clients, coworkers and the general public.

• Weekly connects with supervisor to review progress on weekly objectives and set up actions for the upcoming week

• Member experience & engagement activities: Boothing, fitness floor engagement, front desk support, member reach outs, etc.

Minimum Required Qualifications   

• High School Diploma or GED

• Must have a working knowledge of health and fitness and the human body, and be able to quickly grasp and apply new concepts.

• Must be punctual while having a positive, enthusiastic, energetic personality that enjoys working with people

• Must have a desire to work towards an accredited Personal Training Certification and/or Degree in a related field

• Must have a desire to work as a Life Time Personal Trainer in the near future

• Must be open to working in other departments at Life Time to support customer experience and engagement

• Must have the ability to perform an aerobic activity for the duration of a class and be able to bend, stand, reach, climb and lift up to 50 pounds

Preferred Qualifications

• CPR and AED certified

• Experience working in and/or shadowing at a fitness facility

• Experience with program design

• Experience with coursework related to health and fitness

• Experience in customer service

Life Time is a place for everyone. As an organization, we are committed to an inclusive, diverse and equitable workplace that respects and celebrates the unique contributions of each individual while ensuring we remain an equal opportunity employer that recruits, hires, trains and promotes based on merit and qualifications.

Firm Overview
Cambridge Associates is a leading global investment firm. We work with non-profit institutions, pension plans, and private clients to build investment portfolios that help them meet their philanthropic goals, pensioners’ obligations, or personal endeavors. Our goal is to meet clients wherever they are in the investment process. We offer a variety of services to complement those needs, from acting as an outsourced investment office to providing access to our world-class digital research platform. Committed to independence since our founding more than 40 years ago, we are motivated only by what is best for our clients.

Our clients trust the experience, leadership, and integrity of our investment professionals. We have a global team of outstanding investment advisors and an extensive research platform to support them. With more than 1,400 employees in eleven locations around the globe, we are constantly looking to discover new ideas for our clients’ portfolios. This extensive network helps us to identify and access the best global investment opportunities all over the world.

Position Overview
The 6-months internship program will provide broad exposure to the investment managers and asset classes in which our clients are investing, including equities, bonds, real estate, venture capital, hedge funds, private equity, and many other types of investments. Separate, dedicated teams of research professionals study and evaluate fund managers in these asset classes. By working alongside some of these groups, intern will learn how institutions decide to invest in, evaluate and measure fund managers. The internship program typically begins in early July and concludes in end December.

Job Responsibilities

• Assist with completing in-depth due diligence on investment opportunities. Responsibilities include: preparation of pre-meeting analytical and background materials for manager meetings, attendance of manager meetings, quantitative analysis of fund returns and other tasks that will help in evaluating fund managers
• Write reports, of various formats, to help clients and colleagues in their investment decisions. This includes concise commentaries summarizing meetings with fund managers and in-depth due diligence reports
• Assist colleagues seeking current information on investment opportunities, including data and analysis, comparisons across fund managers, and the opinion of the research team
• Prepare exhibits for periodic Research meetings

Skills

• A demonstrated interest in investments and sustainability
• Strong analytical and quantitative skills
• Demonstrated command of written communication and strong English business writing skills. Business Mandarin knowledge would be a plus
• Familiarity with Microsoft Office suite and strong Excel skills. Knowledge of Bloomberg and Factset will be a plus
• Ability to prioritize multiple tasks/requests while ensuring integrity, accuracy, completeness, and timeliness of data
• Ability to work both independently and in a team under tight deadlines

Qualifications

• Penultimate/sophomore students (any major), with a record of high academic achievement
• Must be eligible to work in Singapore without sponsorship or restriction

All applications MUST include a resume and a cover letter for consideration.

Please apply directly at: https://phe.tbe.taleo.net/phe02/ats/careers/v2/viewRequisition?org=CAMBRIDGEASSOCIATES&cws=47&rid=10072

The firm is committed to the concept and practice of equal employment opportunity, and will not discriminate against any employee or applicant on the basis of race, color, religion, age, sex, national origin, sexual orientation, gender identity, disability, or veteran status. It is expected that all employees will follow a similar policy toward their co-workers.

SCSD Intern – Artificial Intelligence Training Specialist

Description -

Responsibilities:
Apprentice includes students working at hp who are enrolled in apprenticeship programs in association with their university. Typically used in countries where specialized apprenticeship programs exist. College Interns are university students who are working at hp during their study or in summer breaks between university semesters. College Intern is only used in selected countries where it is not the practice to differentiate based on academic year completed.

Education and Experience Required:
Enrolled in University.

Technical degree (engineering, math, computer science) required

Job -

Administration

Schedule -

Full time

Shift -

No shift premium (Czechia)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

Artificial Intelligence/Machine Learning Engineer Intern

Description -

About Us:

Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators and entrepreneurs around the globe.

HP brings together a portfolio that spans printing, personal computing, software and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.

The Program:

Our future success depends on the innovation and fresh ideas students bring to HP Inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP Inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way. 

Join us for a 12-week paid Summer 2024 Internship designed to let you apply your classroom learnings to real world challenges.  Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun!

The Team:

The Personal Systems organization creates a full ecosystem of digital experiences through advancing leadership in computing, creating immersive experiences through peripherals, and expanding digital services. 

Responsibilities:

HP is looking for a machine learning engineer intern to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize HP’s machine learning models and algorithms.

 

1) Design and develop machine learning algorithms and deep learning applications and systems for HP.

2) Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks.

3) Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.

4) Identify differences in data distribution that could potentially affect model performance in real-world applications.

5) Ensure algorithms generate accurate user recommendations.

6) Stay up to date with developments in the machine learning industry.

 

1) Impeccable analytical and problem-solving skills.

2) Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.

3) In-depth knowledge of machine learning frameworks, like Keras or PyTorch.

4) Familiarity with data structures, data modeling, and software architecture.

5) Excellent time management and organizational skills.

6) Desire to learn.

Education and Experience Required:

• 1st year of Master's program completed or PhD candidate
• Software - Python, Java, Scala and R

Preferred Majors:

• Computer Science, Software Engineering, Computer Engineering, or related technical field

We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today— we are eager to learn more about you. 

Job -

Administration

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

FHI 360 NIGERIA

POSITION DESCRIPTION

Position Title:           Research Intern

Location:                   Country Office, Abuja

Supervisor:               Director, Strategic Information Informatics & Innovative Solutions

Job Summary:

The Research Intern will provide support to the Strategic Information department to assist with the implementation and maintenance of research studies. Support with coordination, reviews, and development of study related documents and assist with data management, site communication, and implementation of study components based on standard operating procedures (SOPs).

Perform introductory to intermediate level statistical analysis (e.g. regression analysis).

Duties and responsibilities:

• Maintains, updates, and may establish various databases for tracking research studies.
• Support gathering and summarization of information from literature.
• Support the development of study documents.
• Assist with data cleaning and analysis by formatting data tables.
• Support preparation of dissemination materials (e.g., reports/manuscripts/presentations) by assisting with formatting, collecting specific information, etc.
• Provide administrative support to teams which may include set up of study files and/or shared sites.
• Assist in the management of timelines and tracking progress.

Knowledge, Skills & Attributes:

• Excellent logical and analytical skills.
• Ability to perform root-cause analysis.
• Basic to intermediate knowledge of statistical methods for observational and randomized studies.
• Ability to analyze and interpret data, identify errors, and prepare reports.
• Strong computer skills, including Microsoft Office applications (Word, Excel, PowerPoint, etc.)
• Basic knowledge of concepts, practices, and procedures with project design.
• Articulate, professional, and able to communicate in a clear, positive manner with staff.
• Strong organizational and attention to detail needed to adhere to deadlines.
• Effective communications in information shared by ensuring attention is paid to the specific components (i.e., formatting) of the communication, successful delivery, and accountability for specific components (i.e., keeping timelines updated).
• Ability to work in a fast-paced workplace to produce high-quality work.

Qualifications and Requirements:

• Bachelor's, degree or its International Equivalent in Medical Sciences, Public Health, or related field with 1-3 years of post NYSC work experience.
• Prior experience in global public health preferred.
• Prior experience in a non-governmental organization (NGO) is an advantage.

Safeguarding:

FHI 360 is committed to provide a safe environment for all employees, beneficiaries and anyone contracted by FHI 360. This Includes taking measures to protecting vulnerable people from Sexual Exploitation and Abuse (SEA) by either FHI 360 employees or associated personnel. FHI 360 abides by child safeguarding principles. FHI 360’s Safeguarding Policies apply and flow out to all FHI 360 staff, board members, volunteers, and partner staff (subcontractors, consultants, vendors, and sub-recipients), regardless of the funding mechanism or amount of contract, agreement, or purchase order.

This job posting summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time.

FHI 360 is an equal opportunity and affirmative action employer whereby we do not engage in practices that discriminate against any person employed or seeking employment based on race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, marital status, physical or mental disability, protected Veteran status, or any other characteristic protected under applicable law.

Our values and commitments to safeguarding: FHI 360 is committed to preventing any type of abuse, exploitation and harassment in our work environments and programs, including sexual abuse, exploitation and harassment. FHI 360 takes steps to safeguard the welfare of everyone who engages with our organization and programs and requires that all personnel, including staff members and volunteers, share this commitment and sign our code of conduct. All offers of employment will be subject to appropriate screening checks, including reference, criminal record and terrorism finance checks. FHI 360 also participates in the Inter-Agency Misconduct Disclosure Scheme (MDS), facilitated by the Steering Committee for Humanitarian Response. In line with the MDS, we will request information from job applicants’ previous employers about any substantiated findings of sexual abuse, exploitation and/or harassment during the applicant’s tenure with previous employers. By applying, job applicants confirm their understanding of these recruitment procedures and consent to these screening checks.

FHI 360 will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws.

FHI 360 will never ask you for your career site username or password, and we will never request money, goods or services during the application, recruitment or employment  process. If you have questions or concerns about correspondence from us, please email CareerCenterSupport@fhi360.org.

FHI 360 fosters the strength and health of its workforce through a competitive benefits package, professional development and policies and programs that support a healthy work/life balance. Join our global workforce to make a positive difference for others — and yourself.

Please click here to continue searching FHI 360's Career Portal.
 

About the Role

In 2021, Sustainalytics committed to expanding its suite of ESG solutions by building a new business unit dedicated to innovating a climate-focused product suite that empowers financial institutions and corporates to align their investment decisions with forward-looking climate policies and to drive the broader objectives of Net-Zero carbon emissions by 2050. Our mission is to build a science-based center of excellence within Sustainalytics and Morningstar. The Climate Solutions business unit will develop research and build products and tools that enable the assessment of how companies manage their business in the face of worsening climate change and as we transition to a low-carbon economy.

The Carbon Mitigation Research Oversight Analyst (on Climate Change) will support our research teams with interpreting the relevant regulatory developments, such as the EU Action Plan and TCFD reporting initiatives, developing IP, and implementing related research methodologies. Furthermore, the Analyst will monitor new developments and support research teams with clarifying, developing, and implementing new research guidance.
This role aims to provide input for content inquiries and perform quality checks on research content to ensure qualitative deliveries to clients. Next to joining calls with internal and external stakeholders representing the research team, it is also expected that the content specialist helps improve analyst and indicator guidance documentation.

Job Responsibilities

Develop Intellectual Property:
• Develop expertise in understanding Climate-related regulations and be able to translate this into research requirements;
• Track developments in climate-related issues, including current and emerging thematic trends, drivers, key players, best practices, the regulatory landscape, etc., and explain to climate analysts how these developments might influence their research findings/ assessments;
• Provide climate-related insights, supporting the development of whitepapers or other Sustainalytics’ thought-leadership pieces;

Content Leadership at the Research Team level:
• Develop a deep understanding of each indicator as defined by the Climate Solutions’ suite of products, interpret corporate disclosure on carbon;
• Support the research teams in making robust assessments in corner cases where guidance does not suffice;
• Support the development of a strategy to enhance climate-related content skills among analysts and implement the capacity-building program;
• Contribute to the improvement of analyst guidance and training on the Climate Solutions’ suite of products;
• Perform content quality checks on the research;

Support Clients and Prospects:
• Provide service/support to the Global Client Relations and Product teams in responding to client inquiries, as needed, in calls and in e-mails;
• Support the Issuer Relations team in providing high-quality responses for issuers;
• Collaborate with colleagues across global teams and offices.

Qualifications

• 4-6+ years of related work experience (research and/or consulting);
• Degree(s) in a related discipline (business, sustainability and/or environmental engineering);
• Strong oral and written communication in English;
• Strong knowledge of international and regional standards, taxonomies, and regulatory initiatives relevant to climate change;
• Knowledge of sustainable and responsible investment and debt capital markets;
• Technical expertise related to energy, carbon and/or industrial processes;
• Experience in research is an asset;
• Strong analytical skills, analytical entrepreneurialism and critical thinking are key;
• Client-centric approach;
• Strong work ethic and eagerness to learn in a constantly evolving and fast-paced environment;
• Accuracy and attention to detail;
• Excellent teamwork and communication skills;
• Alignment with Sustainalytics’ mission, vision and values

#LI-PI1

 

B99_MstarHollandBV Morningstar Holland BV Legal Entity

Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.

Job Description

At our Company, we are committed to be the premier, research-intensive biopharmaceutical company and are dedicated to providing leading innovations and solutions for today and the future. Our mission is to discover, develop and provide medicines and vaccines that save and improve lives around the world. We strive to transform breakthrough science into novel therapeutics and vaccines and our scientific curiosity drives us to invent solutions to some of the world’s most challenging diseases. Many begin in the our Research Laboratories, where we push the boundaries of science with the hope and expectation that the medicines and vaccines we invent will lead to better health for society for generations to come.

In Singapore, our Translational Medicine Research Centre is located within the Biopolis, the heart of Singapore’s biomedical research community. Here, we are focused on identifying and validating new drug targets, exploring innovative therapeutic modalities and leveraging clinical studies and patient–derived material to understand biomarkers of disease or therapeutic response to increase our understanding of human biology and to drive a therapeutic pipeline to address unmet medical needs. Our state-of-the-art laboratory supports discovery biology and translational medicine and is an integral part of our Company’s world-class network for drug and vaccine discovery.

As an intern within the Target and Pathway Biology group which is a part of Quantitative Biosciences, you will gain the opportunity to work with talented and dedicated scientists, learn from leading industry experts, gain exposure and professional experience working for a research-driven enterprise; and use your passion, creativity, knowledge and collaboration skills to find solutions to challenging problems in your day-to-day work. We are focused on identifying and validating new drug targets and mechanisms, exploring innovative therapeutic modalities and leveraging clinical studies and patient–derived material to understand biomarkers of disease or therapeutic response to increase our understanding of human biology and to drive a therapeutic pipeline to address unmet medical needs.

Job Purpose

The Research Intern will work closely with an assigned scientific supervisor on a lab-based research project and will focus on developing imaging MS and LC-MS based workflows to support drug discovery pipelines by facilitating decision making based on distribution of proteins, lipids, metabolites, and candidate drugs.

Qualification

Enrollment in an Undergraduate or Master’s program leading to a Diploma/Degree in a Biomedical Sciences, Analytical Sciences, Biological Sciences or Life Sciences-related discipline.

Experience And Skills

• Working knowledge of laboratory-based methodologies such as mass spectrometry, molecular biology, Western blot, immunocytochemistry, quantitative plate-based detection methodologies, imaging and microscopy.
• Hands-on laboratory experience preferred.
• Strong interest in mass spectrometry based techniques

Other Personal Attributes

• Strong interest in working in a research-intensive environment
• Excellent communication and facilitation skills
• Have a positive, proactive, can-do attitude
• Keen to learn and good team player
• Strong problem-solving skills
• Availability for 6 months in a full-time capacity preferred

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Intern/Co-op (Fixed Term)

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Not Applicable

Shift:

Valid Driving License:

Hazardous Material(s):

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science ‘Proteins4Singapore’ program is funded by Singapore’s National Research Foundation (NRF). The Technical University Munich (TUM) and Nanyang Technological University (NTU) join forces with the Singapore Institute of Technology (SIT) and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI) to research plant-based proteins.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Project Title:

Scalable Process Development for Protein Extraction from Highly Concentrated Microalgae Broths

• Abstract:

The project Proteins4Singapore aims to address Singapore's aspiration to identify domestically grown protein-rich raw materials for the production of novel foods. Proteins4Singapore microalgae which can be grown in highly urbanized environments.

In this master’s/intern project, we will focus on processing microalgae to extract fractions high in protein from concentrated biomass slurries. To facilitate industrial-scale implementation, considerations for scalability and cost-effectiveness are paramount. The initial phase involves establishing a mechanical processing method for microalgae.

Further, microalgae cultures will undergo cross-flow filtration and continuous centrifugation for dewatering. To assess the impact of viscosity on the process, viscosity, and flow index values will be determined. For disruption, high-pressure homogenization will be used on differently concentrated microalgae solutions. The goal is to determine the maximum solid load of microalgae and assess disruption efficiency with increased solid loads.

Following the disruption, debris will be separated from soluble proteins through centrifugation and cross-flow filtration. Subsequently, these solutions will be separated from potential valuable co-products, while monitoring protein stability in highly concentrated solutions. Finally, cost efficiency and economic aspects will be evaluated.

• Applied Methods:

High-Pressure Homogenization, Micro- / Ultrafiltration, Protein Analytics, Rheometry, Centrifugation

Job Responsibilities:

1. Laboratory Work and Experimentation:

• Conduct hands-on experiments related to microalgae processing, protein extraction, and separation techniques.
• Collaborate with the research team to optimize protocols and methodologies.
• Assist in developing and refining scalable processes for protein extraction.
• Investigate factors affecting efficiency, yield, and cost-effectiveness.

2. Data Collection and Analysis:

• Analyze results using appropriate statistical tools and software.
• Summarize findings from scientific literature related to microalgae processing and protein extraction.
• Contribute insights from your research to project reports and your master’s thesis.

3. Collaboration and Communication:

• Present your research findings during team meetings.
• Actively participate in discussions with fellow researchers, and project leads.

Job Requirements/Competencies:

1. Educational Background:

• Currently enrolled in a Master’s program with a reputation university in fields such as Biotechnology, Bio-/Chemical Engineering, MINT (Mathematics, Informatics, Natural Sciences, Technology)
• Possess a Bachelor’s degree with a reputable university in relevant fields, including Applied Sciences, Food Science, Biotechnology, Chemistry or related areas

2. Experience and Attitude:

• Laboratory experience is beneficial for this position.
• A strong willingness to learn, contribute, and work independently is equally important.

3. Essential Skills:

• Attention to Detail: Precise data collection and adherence to protocols.
• Analytical Thinking: Ability to interpret experimental results and troubleshoot.
• Teamwork: Collaborate effectively within a multidisciplinary team.

This internship provides an opportunity to work on cutting-edge research at the intersection of biotechnology, sustainability, and food science. The successful candidate will gain practical experience in a dynamic and international research environment and contribute to Singapore’s protein innovation landscape.

We encourage curiosity, creativity, and a passion for scientific exploration.

Feel free to reach out if you have any further questions or need clarification!

What TUM CREATE offers you

• Intern allowance
• Medical insurance support
• Good amount of leave/vacation days
• Multicultural, vibrant, modern and positive working environment in Singapore
• Campus-sited office location with a host of facilities
• In-building perks including gym, game room and coffee room

Applications

Please send your application including cover letter and CV to hr@tum-create.edu.sg.

Only shortlisted candidates will be contacted.

We look forward to your application.

NVIDIA Research Intern – Applied Simulation, Autonomous Driving 

 

NVIDIA is seeking an applied research / engineering intern to join the Applied Simulation team to advance autonomous Driving. This role provides a unique opportunity to make algorithmic contributions to core products and apply their ideas at a very large scale to accelerate Autonomous Vehicles development. As an intern, you will conduct applied research related to real-to-synthetic domain adaptation , Neural Graphics, Generative AI and related fields. In order to scale-up current AV-algorithms, we need to learn from real datasets  and create new synthetic datasets, orders of magnitude larger than existing ones which is a very challenging task. You may also have the opportunity to publish in premier conferences in the fields of Machine Learning and perception.

 

What you'll be doing:

• You will be responsible for conducting applied research in the domain of  image generation, video generation, 3D generation using real-world datasets and evaluate and advance the performance of the NVIDIA DriveAV stack on such datasets.

• In addition to the research aspect, you will also be helping to make this work easily available to AV developers as an infrastructure service to develop new AV functionalities & capabilities. 

• Collaborate with other research  team members, a diverse set of internal product teams, and external researchers and have a broader impact through the transfer and/or open-source of the technology you've developed to relevant product groups.

 

What we're looking for:

• Pursuing  MS, or Ph.D. in Computer Science, with a focus in Deep Learning, Artificial Intelligence or related fields.

• Hands-on coding skills with PyTorch, Python, C, C++ and Linux bash scripting expertise.

• Expertise in Computer Vision, Deep Learning and Simulation.

• Strong mathematical background and ability to analyze results.

• A dedication to bring your work to completion and see your work having a worldwide impact.

• A self-motivated and good teammate with good communication and social skills.

• Publication or experience in fields related to machine learning, analytics, large-scale systems, statistics, and mathematics.

 

Ways to stand out from the crowd:

• First author publications in top-tier peer-reviewed conferences such as NeurIPS, ECCV, ICML, CVPR, ICCV.

• Research or software engineering experience confirmed via internships, relevant work experience or code competitions.

Job Description

Are you a current Ph.D. student passionate about helping computers learn to decipher the intricacies of language and eager to make a meaningful contribution to therapeutics development and patient lives? We are currently seeking an enthusiastic and analytical-minded individual to join our NLP team for a rewarding summer internship.

Role Description
As an NLP Research Intern, you will collaborate with our cross-disciplinary team of data scientists, bioinformaticians, and engineers. Your work will involve helping to create and improve NLP and generative AI models for unstructured and semi-structured data from various sources across our research and development pipeline. Key focus areas will include the likes of text classification, relation extraction, entity linking, and question answering. Through this experience, you will gain an understanding of real-world NLP applications, while contributing to NLP research.

Your Responsibilities

• Contribute to the development, testing, deployment, and refinement of NLP and generative AI models.

• Work closely with mentors to understand real-world NLP challenges and deliver automated data solutions to address them.

• Stay updated on the newest approaches in NLP and machine learning, and explore opportunities to incorporate them in our projects.

•  Participate in meetings with stakeholders, presenting your findings, and progress to the team.

Qualifications

• Current Ph.D. student focused on computer science or a related discipline with a strong emphasis on NLP, machine learning, AI or related techniques.

• Candidate must be able to commit to a full-time onsite position for 10 - 12 weeks starting June 2024 in Cambridge, MA.

• Proficient in Python programming, version control with Git, and standard Python packages like pandas, numpy, and matplotlib.

• Experience with at least one machine learning framework (e.g., PyTorch, Tensorflow) and NLP libraries (e.g., Spacy, General Architecture for Text Engineering / GATE).

• Familiarity with statistical learning, such as supervised, unsupervised, and weakly supervised learning, especially in NLP contexts.

• Experience with cloud and/or high-performance computing environments (e.g., AWS) is a plus.

• Strong teamwork, communication skills

What We Offer

•  An opportunity to work at the forefront of NLP research and gain hands-on experience.

• Opportunities to co-author presentations, reports, and/or public code releases.

•  A paid internship position, with potential involvement in a scientific publication as a result of research undertaken during the internship.

Note: International students who are pursuing a degree in an academic program and are eligible to work under Optional Practical Training (OPT) should select “no visa sponsorship needed” in the application.

Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected salary range:

 $39,600.00 - $105,500.00 

 ​

FTP2024

GSF2024

Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders).  Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement​

Pay Transparency Nondiscrimination

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.  This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Intern/Co-op (Fixed Term)

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Remote

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

n/a

Primary Responsibility

• Perform analysis using quantitative and qualitative research techniques.
• Translate internal memo, documents knowledge-based for research journal publishing.
• Perform statistical analysis (t-test, ANOVA etc) on dataset.
• Generate internal memo on research topics.
• Generate report and progress update for customer.
• Performs other duties as assigned by PI or co-investigator in the research team.

Job Requirements:

• Good knowledge and familiarity with research techniques; qualitative, quantitative, desktop, field research etc.
• Bachelor Degree or Diploma with with relevant experience Previous engagement with seniors and seniors related research is an advantage.
• Knowledge of MS Office, Excel software

Summary

Job Description

POSITION SUMMARY: Summer Employees are used at different times throughout the Summer to support various departments throughout the hospital. Selected candidates will be matched with departments that have identified a need for the Summer. Candidates will need to attend an orientation at the beginning of their employment and be able to work with their department through the duration of their assignment.

HOURS: Full time, Monday-Friday 8am-4:30pm

ESSENTIAL FUNCTIONS: Qualified individuals must have the ability (with or without reasonable accommodation) to perform the following duties:

• Support departments by assuming specific tasks from other positions as assigned.

• Display the values and Every Time Behaviors of Lancaster General Health/Penn Medicine.

JOB REQUIREMENTS

MINIMUM REQUIRED QUALIFICATIONS:

• A high school diploma or equivalent (GED).

PREFERRED QUALIFICATIONS:

• Current undergraduate or graduate college student preferred.

Disclaimer: This job description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills, efforts, or working conditions associated with the job.  It is intended to be a reflection of those principal job elements essential for recruitment and selection, for making fair job evaluations, and for establishing performance standards.  The percentages of time spent performing job duties are estimates, and should not be considered absolute.  The incumbent shall perform all other functions and/or be cross-trained as shall be determined at the sole discretion of management, who has the right to amend, modify, or terminate this job in part or in whole.  Incumbent must be able to perform all job functions safely.

Disclaimer

Job Overview: The Golden Rise is offering an exciting opportunity for talented individuals to join our team as Graduate Training Interns (Hybrid & Freshers Only). As an intern, you will have the chance to learn and develop your skills in a professional work environment. This program is designed for recent graduates who are eager to gain practical experience and kickstart their career.

About The Golden Rise: At The Golden Rise, we believe in investing in the next generation of talent. We are committed to providing a supportive and inclusive work culture that promotes growth and innovation.

Key Responsibilities:

• Assist in various tasks and projects across different departments to gain a comprehensive understanding of our company's operations and processes.
• Participate in training sessions and workshops to develop your professional skills and knowledge.
• Work alongside experienced professionals to learn best practices and gain practical insights.
• Contribute to team projects and provide support in achieving team and company goals.
• Show initiative by identifying areas for improvement and suggesting innovative ideas.

Qualifications:

• Recent graduate from a recognized university or college.
• Strong academic background with a minimum grade point average (GPA) of 3.0.
• Passion for learning and a strong desire to gain practical work experience.
• Excellent communication and interpersonal skills.
• Ability to work well in a team and collaborate effectively with others.
• Strong analytical and problem-solving skills.

Benefits:

• A supportive environment for career growth and learning in the HR field.
• Exposure to diverse HR operations in a dynamic business setting.
• Competitive salary package for entry-level positions.