Total 344 Junior Executive level Education / Training job vacancies in george town

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 Infectious Diseases Research Laboratory at the Department of Medicine, Yong Loo Lin School of Medicine is looking for highly motivated and well-qualified candidates for the post of Research Assistant to drive daily laboratory operations and research projects. The lab is translational in nature, spanning cellular, murine and human TB research. This position provides an excellent opportunity for candidates looking to further experience in translational research with a view to a PhD with the Principal Investigator.

The candidate will:

1. Maintain the lab including grant management, purchasing, and research regulatory matters.
2. Support day-to-day running of experiments in the Biosafety Level 2 (BSL2) and is expected to work independently and in coordination with other team members in the laboratory.
3. Work with M. tuberculosis is expected in a BSL3 setting eventually after a period of competency training, ranging from infection experiments to inactivation of human samples.
4. Perform a variety of molecular biology techniques including cell culture, PCR, ELISA etc.

Qualifications

1. An excellent degree in life science (First Class/Second Upper) or equivalent
2. A minimum of 2 years’ experience in BSL2
3. Ability to help mentor, supervise and train junior staff members and students
4. A proven track record of outstanding written, project management and communication skills

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

Purpose:

To participate in screening and recruitment of potential patients as according to research protocol. Ensures smooth and efficient day to day operation of research and clinical services.

To actively collect qualitative samples for research studies so that the department can publish more papers in high impact journals, establish collaboration with other universities and to get more grants for funding.

Roles and Responsibilities

• Conduct and coordinate research related activities and projects in the department according to Good Clinical Practice guidelines and standard operating procedures in compliance with HBRA, other applicable regulatory and ethical requirements as well as hospital policies if applicable.
• Assisting with the current studies mainly involving pregnant women; FORECAST(pre-eclampsia) clinical trial, Wharton’s Jelly(umbilical cord) clinical study, TOP(termination of pregnancy) research study, GSM(genitourinary) research study, MASON(Pregnancy-Risk stratification)study and etc.
• Liaison with Principal Investigator and assisting the investigators with patient recruitment
• Coordinate grants related to Clinical Research and other types of research
• Ensure duties are carried out in accordance to protocol procedure
• Screening and short listing of potential patients

Roles and Responsibilities

• Explain protocol to patients
• Ensure that informed consent is taken as per GCP requirement
• Contact and schedule appointments for patients within the time frames required by protocol
• Monitoring of treatment and provide necessary follow up patient's visits with the research subjects and collection of data
• Maintaining proper filing and documentation of clinical trial files and electronic case report forms
• Maintain source documentation for each patient according to protocol
• Collect returned study products by patients and keep accountability logs
• Identify and document Adverse Effects and obtain the PI 's signature

Roles and Responsibilities

• Identify, document and submit protocol deviations to DSRB according to hospital and sponsor procedures
• Collect research samples and data for different research teams in the department (Daily)
• Labelling and delivery of specimens in the correct conditions in the specific trial protocol
• Meet with the Investigator and Sponsor to plan the implementation and management of the study
• Communicate closely with the investigators and other stakeholders to provide ancillary services for the research studies/clinical trials
• Provide logistic and administrative support in research related matters
• Perform any other duties as assigned by supervisor

Qualifications

• Candidates with no experience are welcome to apply but candidates with minimum 1 year relevant experience would be preferred.
• Degree holder in science-related field, nursing or equivalent
• Good understanding of GCP, familiarity with research-based principles
• Good written and communication skills. Ability to speak other languages and common dialects will be an added advantage as there may be patients who may not be able to converse in English.
• Able to work meticulously, independently and as a team player
• Possess strong work ethic

Job Specific Technical Requirements (if any):

Computer proficiency is essential - MS Word, Powerpoint and Excel.

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

• Assistance to the coordination of the research activities in the Robots for Humans thrust.

• Assistance to the collaboration with external partners (CHART) and the interactions with users

• Assistance to the management of the workplan, deadlines, reporting, meeting organization.

Qualifications

• Degree in Engineering
• Expertise in project management

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

About Khudiyev Research Group at MSE NUS:
Khudiyev Research Group at the Department of Materials Science and Engineering (MSE) in the National University of Singapore (NUS) is dedicated to advancing research in flexible electronics. Our group aims to contribute meaningfully to the field, focusing on advancements in materials, devices, and fabrication techniques. With a commitment to innovation and collaboration, we aim to address pressing challenges and explore new opportunities in this dynamic area of research. From flexible sensors to actuators, wearable health monitoring to smart textiles, we are committed to creating innovative solutions with practical applications.

Position Overview:
We are seeking a highly motivated Research Assistant with expertise in polymer chemistry and electrochemistry to join our team. The ideal candidate will possess a strong background in polymer chemistry and electrochemical techniques, with experience in preparing polymer composites and devices for energy storage and sensor/actuator applications.

Key Responsibilities:
• Utilize expertise in polymer chemistry and electrochemistry to prepare polymer composites and devices for energy storage, electroactive sensor, and actuator applications.
• Conduct experiments to analyze and characterize polymer materials using various characterization techniques, including spectroscopy, microscopy, and thermal analysis.
• Apply electrochemical techniques to study the electrochemical properties of energy storage materials and devices.
• Collaborate with multidisciplinary teams to design and process materials using chemical and thermal fabrication approaches.
• Assist in research activities, including experimental design, data analysis, and interpretation.
• Support group activities and contribute to a collaborative research environment.
• Perform other ad-hoc duties as assigned by the Principal Investigator.

Qualifications

• Bachelor or Master degree in Chemistry, Materials Science and Engineering, Chemical Engineering, or a related field.
• Strong background in polymer chemistry and electrochemistry.
• Experience in energy storage devices is preferred.
• Experience in organic chemistry is preferred.
• Familiarity with polymer materials and their thermal and chemical properties.
• Proficiency in characterization techniques such as spectroscopy, microscopy, and thermal analysis.
• Proficient in laboratory safety protocols and practices.
• Strong ability to work both independently and collaboratively within a team.
• Excellent written and verbal communication skills in English.
• Demonstrated leadership skills.

Application Procedure:
Interested candidates should submit a detailed CV, and recommendation letters from 3 referees.

Deadline for Application:
Applications will be reviewed on a rolling basis until the position is filled. Early application is encouraged.

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 successful candidate will work with Dr Subhroshekhar Ghosh on mathematics of data under a project on Complex structures in Statistical Physics and the Math of Data and Stochastic models with latent symmetries.

The main responsibilities of the position include conducting research.

Qualifications

Qualifications / Discipline: Master’s degree in Mathematics with an emphasis on probability, combinatorics, statistics and machine learning

Skills: Coding skills in R, Strong theoretical and theorem proving abilities and should be familiar with ideas and techniques for mathematical modelling of real world phenomena

Experience: Prior experience with research, including demonstrable completed research projects

Job Summary:

The successful applicant will support the PE teachers in the teaching process in order to attain educational excellence. Demonstrating a positive attitude towards the teaching process, they will communicate, liaise and develop sound relationships with children, teachers, parents and colleagues to enhance learning. They will support PE lessons, and lead groups of children in the swimming pool.

This role reports to Head of Infant School through the Head of PE (Infant School).

Requirements:

• A professional or educational background in PE or sports coaching will be an advantage, with relevant qualifications and at least two years’ experience
• Previous experience of working with children is essential
• Being a confident swimmer is a must, whilst experience in cycling and indoor climbing is advantageous
• Excellent command of English, organisation and communication skills
• Sound Microsoft Office knowledge; proficient computer usage
• Positive, enthusiastic and mature individuals who enjoy working with children and teachers

The school is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. We will conduct thorough background checks on all successful applicants.

Please refer to “Careers” on our website at www.tts.edu.sg for a detailed job description.

5-day week with school holidays entitlement. Interested applicants, please email with an application letter and detailed resume, stating your current and expected salary, and contact number to hr.recruit@tts.edu.sg. In your application, please provide the names and addresses of three people from whom confidential references may be obtained. Please indicate their professional relationship to you.

Closing date for applications is Friday, 12 April 2024

(Only shortlisted applicants will be notified)

CPE Registration No.: 196100114C | Period of Registration: 7 June 2023 to 6 June 2029

Job Summary:

The appointee uses their knowledge of teaching and learning, and the values of the School to contribute to children’s progress in learning through planning organising and creating resources and providing support to the children and their teachers.

The role reports to Head of Infant School through Head of Learning Support (Infant School).

This is a temporary position for 3 months (August to November 2024).

Requirements:

• Minimum Diploma/Degree holder preferably in the relevant discipline
• Minimum 2 years of relevant teaching experience
• Previous experience of working with children is essential, preferably children aged 3 – 7 years old
• Have a very good knowledge and understanding of the UK SEND Code of Practice 2014;
• Excellent command of English, written and verbal communication skills
• Proficient in Microsoft Office Applications and knowledge of iPad is essential
• Positive, enthusiastic and creative individuals who enjoy working with young children, teachers and Teaching and Learning Assistants.

The school is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. We will conduct thorough background checks on all successful applicants.

Please refer to “Careers” on our website at www.tts.edu.sg for a detailed job description.

5-day week with school holidays entitlement. Interested applicants, please submit an application letter and detailed resume, stating your current and expected salary, date of availability and contact number via the online system at https://careers.tts.edu.sg/careerportal/main.aspx. In your application, please provide the names and addresses of three people from whom confidential references may be obtained. Please indicate their professional relationship to you.

Closing date for applications is Friday, 12 April 2024

(Only shortlisted applicants will be notified)

CPE Registration No.: 196100114C | Period of Registration: 7 June 2023 to 6 June 2029

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The job scope will be to participate to the development and design of a quantum processor using neutral atoms array. In particular, the candidate will participate to the design of the vacuum system, characterisation of the laser system, implementation of the optical systems, and interfacing of the experimental setup. The candidate will work under the daily supervision of a research fellow and will report on the progresses to the Lead-PI of the project at least on a weekly basis.

Job Requirements

• A Bachelor degree in Physics;
• A successful experience in atomic physics or related fields

We are seeking for a highly motivated candidate to join our group as Assistant Research Officer. The successful applicant will participate in project related to development of oral and immersion vaccines against major viral diseases in Asian sea bass. A capable candidate will have the opportunity to lead their own research project.

Requirements:

· BSc (Hons)/ MSc in Biological Sciences or related fields

• Highly motivated and able to work independently
• Strong scientific background in aquaculture or biological sciences
• Some prior experience in aquaculture will be an advantage

Salary and benefits are commensurable to educational qualifications and working experience of the candidates. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their applications (including a cover letter, CV, and contacts of at least two referees) to:

Dr MOOKKAN Prabakaran

Principal Investigator
Temasek Life Sciences Laboratory Limited

Email: prabakar@tll.org.sg

(Please note 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 one Research Assistant position in the Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine. Appointments will be on a 1-year contract in the first instance, with the possibility of extension. Fresh graduates are encouraged to apply.

Purpose of the post

The Research Assistant/Associate (RA) will be responsible to Dr Shi Jiahai and work with a team of researchers. The research project revolves around applied synthetic biology and focuses on red blood cell biology.

Main Duties and Responsibilities

The RA is expected to:

1. Take part in one or more research projects, execute genomic analysis, bioinformatic analysis, and particularly the development of DNA/RNA analysis using deep learning models.
2. Solve scientific problems, think independently, and suggest creative solutions.
3. Assist in any other duties that are delegated by the Principal Investigator.

Qualifications

The applicant should:

1. Hold a Bachelor’s or Master’s degree in mathematics or biotechnology;
2. Have knowledge and hands-on experience in molecular biology, biotechnology, or biological science;
3. Be able to work independently and in a team, have an investigative nature, and be attentive to details;
4. Be passionate about science, self-motivated, naturally take ownership of assignments, and proactively propose solutions to arising obstacles.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Binte Sulaiman, at suhana_s@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

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

At Building Robotics Laboratory, we develop state-of-the-art sensing, learning and control systems for energy efficient, human-centered, comfortable and healthy environments. Building Robotics lab focuses on the development of new tools, evaluation protocols and technologies; the processes of design, management and procurement are also developed and examined through actual implementation of systems in real buildings on NUS campus and beyond.

We are looking for a Building Performance Specialist to join our growing team. As a building performance specialist in Building Robotics lab, you will have the opportunity to work on different parts of developing advanced building facades and cooling systems and smart robots. The candidate should be able to extract relevant standards (ASHRAE/WELL) information to the product design and communicate them effectively with the engineering team. We are particularly seeking individuals who are familiar with or are interested to learn about smart building (systems automation and controls) and are able to undertake sophisticated system development works. If qualified for admission, the candidate may opt to pursue a higher degree on relevant subjects. The position offers excellent career opportunities for upcoming engineers in a very fast-growing sector of smart, efficient and human-centered buildings, an area of great importance to the society.

Job Requirements

• B.Sc. in Building Science related fields, knowledge of Indoor Environmental Quality (IEQ) factors and relevant standards, familiarity with personalized environmental design and control.
• Able to multi-task and work independently
• Team player with good communication and interpersonal skills

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 position of Research Assistant in the Ion Channel and Transporter Lab, Department of Physiology, Yong Loo Lin School of Medicine. The candidate will be involved in the investigation of calcium channel alternative splicing and RNA editing using transgenic mouse model and patch-clamp electrophysiological methods for brain slice recordings. Appointments will be made on a one-year contract basis in the first instance, with the possibility of extension for a second year.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator, the Director of the NUS Electrophysiology Core, and study team members to ensure the successful completion of work assigned. The RA’s principal role will be to work in patch-clamp electrophysiology (training will be provided), molecular and cell biology and working with rodents as models of health and disease.

Main Duties and Responsibilities

The Research Assistant will work closely with the PI or the Director of the NUS Electrophysiology Core. The duties include, but are not exclusive to the following:

1. Perform patch-clamp electrophysiological recordings on excitable cells such as neurons and muscle cells or on brain slices;
2. Conduct experiments employing molecular and cell biological and biochemical methods;
3. Conduct imaging studies;
4. Contribute to lab duties and other work-related activities;
5. Keep records and work done and to present for discussions;
6. Assist with any other duties of a similar nature that are delegated by the PI or Director of NUS Electrophysiology Core.

Qualifications

The applicant should:

1. Have a first degree with good results or holds a Bachelor’s degree in Biomedical Science or related disciplines;
2. Be able to work independently and in a team;
3. Have knowledge or skills in basic animal handling or behavioural studies;
4. Have experiences in Molecular and Cell Biology and Biochemistry;
5. Have experience or willingness to be trained in patch-clamp electrophysiological techniques and brain slice recordings.

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

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

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 Summary

The Research Assistant will be responsible for designing and implementing efficient and robust systems, and applications for algorithms and methodologies based on state-of-the-art research in machine learning and big data for collaborative machine learning.

Responsibilities:

• Design and write robust, readable, and reusable code components and applications to implement state-of-the-art research outcomes in machine learning, artificial intelligence, and big data;
• Perform data cleansing and processing for analysis of real-world datasets;
• Assists with the editing and preparation of manuscripts, reports and presentations.;
• Participate in presentations and demos for exhibiting work at appropriate events;

Requirements

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning/Big Data;
• Solid programming and application development skills with experience in Python/Perl/R. Mastery of programming languages such as C/C++/Java, and experience with Tensorflow would be a plus;
• Ability to read and understand methodologies in research papers;
• Fluent in English and good team-player

This position is for a full-time Research Assistant to work as a Bioinformatics Programmer/Analyst with a solid background in Data Science and/or Evolutionary Biology. The Laboratory of Virus Evolution (LoVE) studies rapidly evolving respiratory RNA viruses including influenza, parainfluenza and coronavirus.

The main duties and responsibilities will include but are not limited to the following: -

• Develop and improve NGS data analyses, phylogenetics and epidemiological modeling or associated tools for infectious diseases.
• Test and implement new models/tools for evolutionary reconstruction, coalescent-based population genetics and related analyses.
• Develop computational scripts and/or pipelines for data analyses.
• Interface and network with clinical counterparts and team members to achieve the goals of the project.
• Prepare data for manuscripts and reports.
• Demonstrate and present research output.
• Perform other related duties incidental to the project theme.

Job Requirement

• Master’s or Bachelor’s in Bioinformatics, Biostatistics, Machine learning or other related disciplines.
• Prior experience in designing/developing Bayesian statistics and models is preferred.
• Possess strong knowledge in Linux/Unix operating systems and high-performance computing clusters
• In-depth knowledge of Perl and Python scripting is required
• Have experience designing and implementing platform packages for evolutionary software such as BEAST.
• Possess excellent quantitative, analytical and organisation skills.
• Self-motived, able to work effectively and efficiently, willing to work hard to meet tight deadlines and work collaboratively in a diverse workforce.

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.

Job Description

We are seeking a full-time Research Assistant for ongoing projects in population aging, elderly health, and retirement finance at the LKY School of Public Policy, National University of Singapore. The appointment is tenable for a period of 1 year, with the possibility of renewal.

The Research Assistant is expected to provide research support to Asst Professor Joelle Fong (https://lkyspp.nus.edu.sg/our-people/faculty/joelle-fong) who is the Principle Investigator for the 5-year research programme covering 2023-2027. The successful candidate should have a background in statistics and quantitative methods, be proficient in R and STATA, and have a strong willingness to learn about new topics and tools. Good written and spoken English is required.

Terms and conditions:

The appointment will be tenable for a period of one year with a possibility for extension. Review of applications will start till the position is filled.

Job Responsibilities

Responsibilities of the full-time RA include:

• Assist with data analysis in R and STATA (and data collection/ cleaning);
• Assist with literature review and questionnaire design;
• Administrative support for research projects in the 5-year research programme;
• Other ad-hoc duties as assigned.

Job Requirements

Job Requirements:

• Bachelor’s degree or equivalent in Statistics, or Data science/analytics, or
• Quantitative economics/finance;
• Candidates with a Master’s degree are encouraged to apply;
• Previous experience in aging-related projects is preferred;
• Previous RA working experience in academic research is preferred;
• Self-motivated and have attention to detail;
• Able to commit to at least 1 year of service.

Job Application

Invitation to apply:

Interested applicants are invited to send the following list of documents:

1. Cover letter (stating interest, qualifications, relevant research experience, and expected salary) Please also state when you can begin work, if you are selected for the role.
2. Curriculum vitae (four-page max)
3. Two writing samples (e.g. essays, written reports, short articles)

(We thank all applicants for their interest; however, only shortlisted candidates will be contacted for an interview.)