Total 2,110 Full-time Education / Training job vacancies in george town

Job description

The Research Fellow in Bioinformatics will play a key role in advancing our research initiatives by providing expert analysis of next-generation sequencing (NGS), focusing on single-cell sequencing, epigenetics data (including ChIP-seq and Ribo-seq), and integrating various multi-omics datasets. This position offers a unique opportunity to collaborate with a multidisciplinary team of leading immunologists, oncologists, and computational scientists. The successful candidate will engage in cutting-edge research that encompasses a wide range of data types, from mouse and human to cancer and various other diseases. Utilizing their bioinformatics skills, the fellow will drive innovation in understanding and developing new treatments for diseases.

Roles and Responsibilities:

• Perform advanced single-cell analyses to identify distinct cell phenotypes and interactions, elucidating the transcriptomic landscape that drives tumor progression and responses to treatments.
• Execute epigenetic analyses and integrate these with single-cell data to provide comprehensive insights.
• Develop and implement pipelines for integrative multi-omics analysis that merge various data types (genomic, transcriptomic, epigenetic, etc.). This aids in a complete understanding of biological systems and disease mechanisms.
• Work collaboratively with an interdisciplinary team of biologists, clinicians, and computational scientists to contextualize findings within complex disease landscapes.
• Manage data curation and ensure the integrity and accessibility of datasets.
• Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
• Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.

Job Requirements:

• PhD in Immunology, Bioinformatics, Computational Biology, Systems Biology, or a related field.
• Minimum of two years of relevant experience in omics data analysis.
• Proficient in programming languages such as R and Python, with extensive use of bioinformatics tools and public databases.
• Demonstrated expertise in statistical data analysis and the application of machine learning.
• Skilled in using data visualization tools and software.
• Knowledge of immunology and molecular biology principles.
• Proven publication record in peer-reviewed journals within the bioinformatics field or related areas.
• Exceptional problem-solving skills, capable of working independently and collaboratively.
• Excellent communication skills, both written and oral.
• Advanced programming skills in R and Python.
• Experience with server-based and high-performance computing environments.
• Experience in computational tool development.
• Expertise in managing and analysing large datasets from various omics platforms.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.Explore the link provided to learn additional details about the available job opportunity:

SIgN is looking for a Business Development Officer to support business development, manage relationships between SIgN and its key partners as well as support the institute’s overall Research and Innovation goals.

Role & Responsibilities:

• Industry Engagement to identify and attract new strategic industry partners for collaborations and partnerships
• Assist in connecting companies and researchers/research units in A*STAR by articulating key SIgN capabilities when engaging industry partners.
• Promote SIgN platform technologies to external academic and industry partners and research institutions for service engagements and collaborations through seminars, conferences, roadshows and exhibitions.
• Review and lead negotiation of research collaboration and service agreements with public sector and industry in consultation with A*STAR Legal, Innovation & Enterprise HQ A*STAR and BMRC Clusters.
• Support Principal Investigators (PIs) and their teams in identifying collaborative project aims, deliverables, budgets and timelines for collaboration and service projects.
• Provide guidance and advice on intellectual property rights and usage.

Job Requirements:

• Bachelor of Science in Biomedical Sciences, Biochemistry, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above.
• At least 3 years of relevant working experience, preferably with a background in the medtech, healthcare, or biomedical industry.
• Good interpersonal skills to liaise and work with diverse internal and external stakeholders.
• Excellent communication skills, both written and oral.
• Willing to learn, adaptable and flexible.
• Strong analytical skills and attention to detail.
• Able to work independently and in a team to complete tasks with minimal supervision.
• Knowledge and competence in industry engagement and intellectual property would be advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant in the Department of Microbiology and Immunology, Yong Loo Lin School of Medicine. Prof Macary’s Laboratory, which is located at the Life Sciences Institute. The lab is fully equipped with state-of-the-art instruments, machines and core facilities. The project focuses on studying the role of alloantibodies in mediating organ rejection. Appointment will be made on a one-year contract basis in the first instance, with the possibility of extension for at least one more year. The position is available immediately.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with the other study team members and will provide assistance to the project.

Main duties and responsibilities

The RA will be able to:

1. Provide administrative support to the project.
2. Undertake the day to day running of the project;
3. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
4. Assist with any other duties in lab of a similar nature that are delegated by the PI.

Qualifications

The applicant should have:

• A Bachelor degree in Life Sciences (biomedical sciences preferred)
• Experience in whole blood processing, flow cytometry and ELISA
• Experience in mitochondrial work preferred
• Keen to learn new techniques as needed. Be well-organized, dedicated and a team player

Candiate must be agreeable for work out of hours (eg evenings and weekends). They will be compensated for during the work week.

Remuneration will be commensurate with the candidate’s qualifications and experience.

The Lot Processing and Data Management (Production Planning) will oversee the daily production schedules and ensure that the manufacturing lot planning to supply inventory levels are managed properly with production line data extraction & analysis.

Supervisory Responsibilities

- Oversee the day-to-days workflow with production staff

- Manages supervisory production staff

- Conducts performance appraisal and/or evaluation that are timely and constructive

- Handles discipline and termination of employees as needed and in accordance with ASTAR policy

Duties and Responsibilities

- Oversee the production process to ensure delivery of high-quality products that meet customer needs

- Maintain accurate inventory records, ensuring proper stock levels of raw materials, components, and finished goods to support production requirements.

- Ensure timely and cost-effective sourcing of materials and components, while maintaining quality standards.

- Implement and maintain production control systems, such as Enterprise Resource Planning (ERP) software, to streamline production processes and enable real-time monitoring and reporting.

- Ensure appropriate production rate to reduce delivery delays

- Collaborate with internal and external stakeholders to identify and resolve quality concerns

- Identify any bottlenecks or delays in production and ensure necessary labor, materials, and other resources are available to relieve production bottlenecks and delays

- Uses production planning and scheduling to limit material shortages

- Ensure production tools comply with professional and safety standards

- Work with equipment engineering to schedule maintenance and repairs used in production processes to avoid downtime or delays

- Perform other related duties as assigned

Required Skills

- Extensive knowledge of logistics, supply planning requirements

- Excellent communications and interpersonal skills

- Excellent analytical and problem-solving skills

- Proficient with computerized production materials control program such as SAP, MES, etc

- Proficient with Microsoft Office Suite or similar software

Education and Experience

- Bachelors degree in planning logistic, supply management, communications, operations, industrial engineering, or a related field. A relevant combination of education and industry experience will be considered.

- At least 3 years of relevant experience required. Exposure to leading semiconductor production, supply planning & management will be of additional value.

Physical Requirements

- Prolonged periods sitting at a desk and working on a computer.

- Must be able to lift up to 15 pounds at a time such as SMIF Pods, FOUPS, 150mm, 200mm Si wafer boxes if required to.

The Lot Processing and Data Management (Production Planning) will oversee the daily production schedules and ensure that the manufacturing lot planning to supply inventory levels are managed properly with production line data extraction & analysis.

Supervisory Responsibilities

- Oversee the day-to-days workflow with production staff

- Manages supervisory production staff

- Conducts performance appraisal and/or evaluation that are timely and constructive

- Handles discipline and termination of employees as needed and in accordance with ASTAR policy

Duties and Responsibilities

- Oversee the production process to ensure delivery of high-quality products that meet customer needs

- Maintain accurate inventory records, ensuring proper stock levels of raw materials, components, and finished goods to support production requirements.

- Ensure timely and cost-effective sourcing of materials and components, while maintaining quality standards.

- Implement and maintain production control systems, such as Enterprise Resource Planning (ERP) software, to streamline production processes and enable real-time monitoring and reporting.

- Ensure appropriate production rate to reduce delivery delays

- Collaborate with internal and external stakeholders to identify and resolve quality concerns

- Identify any bottlenecks or delays in production and ensure necessary labor, materials, and other resources are available to relieve production bottlenecks and delays

- Uses production planning and scheduling to limit material shortages

- Ensure production tools comply with professional and safety standards

- Work with equipment engineering to schedule maintenance and repairs used in production processes to avoid downtime or delays

- Perform other related duties as assigned

Required Skills

- Extensive knowledge of logistics, supply planning requirements

- Excellent communications and interpersonal skills

- Excellent analytical and problem-solving skills

- Proficient with computerized production materials control program such as SAP, MES, etc

- Proficient with Microsoft Office Suite or similar software

Education and Experience

- Bachelors degree in planning logistic, supply management, communications, operations, industrial engineering, or a related field. A relevant combination of education and industry experience will be considered.

- At least 3 years of relevant experience required. Exposure to leading semiconductor production, supply planning & management will be of additional value.

Physical Requirements

- Prolonged periods sitting at a desk and working on a computer.

- Must be able to lift up to 15 pounds at a time such as SMIF Pods, FOUPS, 150mm, 200mm Si wafer boxes if required to.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Global Asia Institute (GAI) is looking for a full-time Research Assistant to assist the researchers at GAI carrying out research in human behavior related to healthcare, environment, and other fields.

We are looking for someone who is dynamic, a go-getter, an out-of-the-box thinker, and someone who values autonomy and flexibility. The candidate will collaborate closely with a team of world-class behavioral and data scientists. Working in this position would provide the Research Assistant with hands-on experience in running field experiments, and managing big research projects.

Salary benefits will be commensurate with skill set, experience and qualifications.

Qualifications

Candidates must have a Bachelor’s degree in psychology or related fields from a reputable institution

Candidates should have a good knowledge of Microsoft Office.

Candidates should be organized, meticulous and detail-oriented.

SIgN is looking for a Business Development Officer to support business development, manage relationships between SIgN and its key partners as well as support the institute’s overall Research and Innovation goals.

Role & Responsibilities:

• Industry Engagement to identify and attract new strategic industry partners for collaborations and partnerships
• Assist in connecting companies and researchers/research units in A*STAR by articulating key SIgN capabilities when engaging industry partners.
• Promote SIgN platform technologies to external academic and industry partners and research institutions for service engagements and collaborations through seminars, conferences, roadshows and exhibitions.
• Review and lead negotiation of research collaboration and service agreements with public sector and industry in consultation with A*STAR Legal, Innovation & Enterprise HQ A*STAR and BMRC Clusters.
• Support Principal Investigators (PIs) and their teams in identifying collaborative project aims, deliverables, budgets and timelines for collaboration and service projects.
• Provide guidance and advice on intellectual property rights and usage.

Job Requirements:

• Bachelor of Science in Biomedical Sciences, Biochemistry, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above.
• At least 3 years of relevant working experience, preferably with a background in the medtech, healthcare, or biomedical industry.
• Good interpersonal skills to liaise and work with diverse internal and external stakeholders.
• Excellent communication skills, both written and oral.
• Willing to learn, adaptable and flexible.
• Strong analytical skills and attention to detail.
• Able to work independently and in a team to complete tasks with minimal supervision.
• Knowledge and competence in industry engagement and intellectual property would be advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a post-doctoral research fellow. The successful candidate will work on developing a novel floating hybrid tidal-wave energy system. Computational fluid dynamics (CFD) simulations will be conducted for design and analysis. Hydroelasticity of the tidal turbine blades will be considered.

Job Requirements

• Possess a recognised PhD degree in hydrodynamics, marine renewable energy, or a related discipline
• Experience with CFD simulations and hydrodynamic analysis.
• Knowledge of coastal dynamics such as waves and tides.
• Strong writing and communication skills and able to present research results clearly.
• Good publication record is advantageous.
• Open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The purpose of the Educator Track Scheme is to attract, nurture, and retain suitably qualified and highly effective faculty members who approach teaching as a scholarly practice, and who therefore focus on and are passionate about excellence in teaching as a means of supporting student learning. The initial appointment will be made on a 2- or 3-year contract, renewable subject to mutual agreement, with a career progression path for promotion (Lecturer > Senior Lecturer > Associate Professor (Educator Track) > Professor).

The appointee’s duties will include teaching, curriculum development, module coordination as well as administrative duties. Remuneration will be commensurate with qualifications and experience. Relocation, leave, medical and housing benefits are provided in accordance with the applicable NUS regulations.

Qualifications

• Native in Malay or near-native in Malay.
• At least a Master’s degree in Malay, Applied Linguistics or any related fields
• Experience in teaching Malay, preferably in higher institute
• Skills/knowledge/experience in online teaching as well as the application of IT to language teaching is preferred

Applicants should minimally possess a M.A. in the teaching of Malay, applied linguistics, or related fields, and have at least three years of experience teaching Malay as a foreign language (preferably at the tertiary level) and developing Malay language curricula at any level. Additionally, applicants should demonstrate proficiency in the use of IT in teaching.

Please refer to the attached document for the required documents to be submitted.

Reporting to a Section Leader, the successful candidate will provide everyday oversight in husbandry of a variety of laboratory animals and their environment. The successful candidate will receive training in the best husbandry practices and will be expected to implement this. In addition, he/she will assist the scientific staff which will include daily observations and recordings; and working with the Veterinarians in monitoring colony health. He/she is also encouraged to work for further qualifications in laboratory animal sciences.

Requirements:

• At least a Diploma in scientific subjects such as General Biology, Veterinary or Laboratory Animal Science
• Preferably with at least 1 year of experience working with laboratory animals
• Training will be provided for candidate without prior experience
• Good team player and communication skills
• Good computer skills in Microsoft Words, Excel and Outlook)
• Able to work on weekends

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

• Plan, supervise and deliver the programme in accordance with the policies, guidelines, frameworks and philosophy of MindChamps
• Prepare and implement programmes and age-appropriate teaching aids
• Keep accurate records of the children’s progress and address the children’s educational and developmental needs individually
• Complete the progress reports of the children for each semester and prepare developmental portfolio for every child
• Communicate with parents via the Connection Book at least once a week, weekly team newsletters and conferences
• Meet the parents to address any concerns
• Use positive discipline techniques at all times
• Guide and supervise the Assistant Teacher in the classroom
• Render basic first aid as and when necessary
• Responsible for the upkeep of teaching resources, arrangement, appearance, decorations and learning environment of the classroom
• Be familiarised with all working curriculum documents, handbooks and policy manuals

Job Requirements:

• Diploma in Early Childhood Care & Education – Teaching (DECCE-T)
• Fluent in English/Chinese Language (spoken and written) as lessons are conducted in English or Chinese (Good written and verbal communication skills in Chinese to conduct teaching lessons in Chinese language and also to communicate in Chinese speaking parents and students)
• Creative and inspiring with loving energy
• Excellent communication and classroom management skills
• Knowledge in educational development

Additional Information:

• Attractive remuneration and staff welfare benefits
• Ample opportunities for Career Progression
• Up to 21 days of Annual Leave
• Low Teacher-Children Ratio!
• Friendly and Conducive working environment
• Comprehensive HQ training for all teachers
• Permanent positions

Life at Grab
At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know the Team
GrabAds allows Advertisers, Agencies, and Merchants to engage the Grab Audience via innovative online and offline advertising experiences. Through our unique ecosystem and transacting user base, our clients are able to reach their desired audiences at scale, while driving measurable business outcomes. We would want to invite talented and passionate engineers to join our journey, to create value for our consumers, drivers, merchants, and advertising partners, while continuing to make everyday lives better across Southeast Asia.

Get to know the Role
You will develop machine learning models and strategies to predict the most relevant items in the user journey. You will drive real-world impact through innovative data-driven technology. You will drive the development and iteration of the algorithm and ensure that improvements roll out successfully.

The Day-to-Day Activities

• Conceptualise and develop machine learning models to understand, classify and predict user behaviors in different scenarios. Deploy, test and maintain them.
• Design and conduct both offline and online experiments to validate hypotheses.
• Design and implement algorithms to derive deep insights and identify trends, patterns and relationships from high-volume high-dimensional data.
• You are required to participate in code and design reviews with peers to maintain our high-standard engineering practice.
• You will participate in on-call rotations with engineers. Troubleshoot, mitigate, and resolve issues.

The Must-Haves

• You have Heart, Hunger, Honour and Humility.
• Master's Degree or above in Computer Science, Electrical Engineering, Software Engineering, Automation, Data Science, or other Computer Science related majors.
• You have a minimum of 2 years of relevant experience in developing Machine Learning models for systems including Ads/RecSys/Search.
• Be familiar with model optimization methods and tricks, and be familiar with deep learning frameworks (TensorFlow/ps-lite/PyTorch)
• Familiar with one or more of the following programming languages: Python/Golang/Java/C++
• Be familiar with the Hadoop ecosystem, and be familiar with modern data processing stacks (e.g. Hive, Presto, Spark, Kafka, HBase, Flink etc.)
• Strong understanding of statistics, data analysis, and data visualization techniques.
• Excellent communication and collaboration skills with a team-oriented mindset, with the ability to work effectively with cross-functional teams.

The Nice-to-Haves

• Be proactive and always be ready to tackle challenging tasks.
  Collaborating with multiple teams to facilitate rapid growth and development.
• Be familiar with user behavior modeling, feature crossing technique, bid optimization strategy including oCPC, and keyword recommendation.
• Proven track record/ accolades in data/ AI-related competitions (e.g. KDD Cup/Kaggle) or programming competitions (e.g. ICPC).
• Proficient in one or more of the following programming languages: Golang/Java/C++/Scala
• Experience in machine learning with cloud platforms (e.g. AWS)
  

Our Commitment
We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Assistant Prof Zhang Sui’s is leading a membrane research group in NUS that engineers membrane transport for water, environment, energy and sustainability (https://blog.nus.edu.sg/suizhang/). Currently there is one research engineer position on membranes for carbon capture.

Qualifications

• Candidates should hold Bachelor or Master degree in Chemical Engineering, chemistry or other relevant fields.

• Candidates should have prior experiences in membranes with relevant publication records.

• Assist in preparing and implementing the programs for children
• Assist with planning, share ideas and exchange feedback with the entire team once a month or at the beginning of a Unit of Inquiry.
• Prepare age and developmentally appropriate teaching aids.
• Evaluate and maintain records of children’s development.
• To render basic first aid as and when necessary.
• Responsible for the upkeep of teaching resources, prepare art and craft materials, arrangement, appearance, decorations, and learning environment of the classroom.
• Use positive discipline techniques at all times.
• Maintain and build relationships with children and parents