Total 49 science job vacancies in Education / Training category in The United States of America

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 Tan Yan Shuo on statistical and machine learning theory under a project on the theoretical foundations of decision trees and ensembles.

The main responsibilities of the position include:
Proving theorems, forming new theoretical hypotheses, performing simulations, writing papers to communicate results, all under the PI’s direction.

Qualifications

• Qualifications / Discipline:
PhD in Statistics, Computer Science, or related field.

• Skills:
Strong mathematical training, deep understanding of statistical machine learning theory, especially in decision trees and ensembles.

• Experience:
Has several first author papers published in top machine learning venues (ICML, NeurIPS, AISTATS, JMLR).

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 Senior Research Fellow (Data Science & Statistics) in the Centre for Research in Health Systems Performance, Yong Loo Lin School of Medicine.

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

Job Description

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw See Hock School of Public Health.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 2-year full-time appointment at the academic rank of Senior Research Fellow (particularly strong applications at the level of Research Fellow will be considered). An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. There is the possibility to move to tenure track depending on performance. Start date is flexible, with the position expected to commence in the first half of 2024.

Purpose of the post

CRiHSP is hiring a highly motivated and experienced postdoctoral researcher. The successful candidate will bring a combination of technical expertise in data science and applied statistical methods in health systems research. They will make a significant contribution to setting up and developing the centre at this crucial stage in relation to its research, training, and evaluation and engagement areas of activity. The successful candidate will report to the CRiHSP Director of Research. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future of healthcare and clinical practice.

Main Duties and Responsibilities

The responsibilities include:

• Establishing an independent research programme as aligned with CRiHSP priorities by securing external funding;
• Supervising of junior research staff in data collection, analysis and dissemination;
• Contributing to research programmes and projects led by other researchers in CRiHSP;
• Facilitating the integration and curation of clinical and other routinely collected data across (NUHS)
• Contributing to postgraduate course design and teaching and on the job training of evaluation fellows; and
• Mentoring of students and junior researchers.

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances. In addition to these duties, the post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record (essential)
  

Experience

• At least 4 years' postdoctoral experience
  Proven track record in handling and analyzing large healthcare dataset (essential)
  Track record of publishing in international peer-reviewed journals (essential)
  Researchers with existing research activities related to developing and using artificial intelligence methods in the context of health systems research are particularly encouraged to apply
  

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
  Strong leadership skills with the ability to work independently and as part of a multidisciplinary team (essential)
  Highly developed problem-solving skills and adept at managing complex research data (essential)
  Evidence of potential to generate and maintain an independent stream of funding (essential)
  Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  Ability to work with culturally diverse populations (essential)
  

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Prof Jose M Valderas at jmvalderas@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) as well as a cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above.

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 School of Computing at the National University of Singapore (NUS) invites applications for educator-track positions as Senior Lecturer or Lecturer in the following areas:

a) Artificial Intelligence

b) Algorithms and Theory

c) Computational Biology

d) Database

e) Media

f) Programming Languages & Software Engineering

g) Security

h) Systems & Networking

The NUS School of Computing is highly ranked internationally. The School consists of two departments: Computer Science, and Information Systems and Analytics, offering a diverse spectrum of degree programmes. We have a thriving environment in computer science research and are looking for someone who can bring in the latest and most relevant industrial experience into curriculum so as to further enhance the value proposition of our graduates.

For more information, visit out School's website at https://www.comp.nus.edu.sg/cs/recruitment/educator-track/

Qualifications

Candidates should possess a PhD degree in Computer Science or Information Systems or equivalent.

Candidates are expected to conduct classes for the school's continuing education programs, and to support regular teaching, if needed. For Senior Lecturer and Associate Professor positions, teaching experience or relevant industry experience will be preferred. Besides relevant background and experience, we are also looking for someone with a passion for imparting the latest knowledge in computing to students in our programs.

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

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

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 job holder is to work with PI and the research team to conduct Research Characterizing Airborne Pollutants in Urban Environment.

The research activities involve (but not limited to):

• Operating a wide variety of instruments, data retrieval
• Laboratory chemical analyses and speciation
• Modeling chemical reactions of airborne pollutants
• Assisting and contributing to project deliverables, including,
• Planning and conduct experiments, data analyses, progress reporting, report writing, etc.

Qualifications

One or more of (but not limited to) the following:

• Fast learner capable of conducting independent research and proficient literature search, review & summary with strong background in chemical engineering / chemistry / physics
• Sufficient experiences in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, etc
• Modeling chemical reactions of airborne pollutants through implicit modules
• Experiences of applying machine learning to handle big data
• Experiences of laboratory chemical analyses using chromatography, such as GC-MS-MS, LC-MS-MS, etc
• Experiences of operating instruments measuring physical properties of aerosols
• Experiences in conducting field studies of aerosol and VOC sampling using various instruments
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

• Participate in the development and testing of LC3-based concrete.
• Conduct material characterization tests and assess the bond interaction with reinforcements.
• Collaborate with team members to ensure project milestones are met.
• Document findings and prepare reports for further analysis.

Job Requirements

• Bachelor’s or Master’s degree in Material Science, Civil Engineering, Construction Management or related fields.
• Experience in concrete materials research is desirable.
• Strong analytical skills and proficiency in using laboratory equipment.
• Ability to work independently and as part of a multi-disciplinary team.

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 position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Duties And Responsibilities

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

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 the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects.

(“Research fellow” is similar to “post-doctoral researcher”, in the terminology of some other countries.) The appointee is expected to work closely with Associate Prof. YU Haifeng (http://www.comp.nus.edu.sg/~yuhf) on issues related to distributed systems security and distributed computing. A key goal of the research will be to produce high-impact academic publications in premier conferences (such as CCS and SP) and journals in the area. Please see http://www.comp.nus.edu.sg/~yuhf for some example prior publications from Associate Prof. YU Haifeng’s research group.

Qualifications

- At least a PhD degree from a good university

- Good publication record

- Fluent in written and spoken English

- Ability and dedication to do world-class research

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

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

We regret that only shortlisted candidates will be notified.

Job Responsbilities

The Research Assistant will participate in seagrass research, with a specific focus on studying effects of nutrient enrichment on marine plants. The Research Assistant will lead and execute aquarium experiments, laboratory analysis and field sampling. Specific tasks include planning and conducting experiments, running laboratory analyses, collection and analysis of data, and performing basic administrative duties.

This position reports to the Principal Investigator at Tropical Marine Science Institute and is based at St John Island National Marine Laboratory on offshore St John Island, Singapore. This position is for 1 year; after the first year, renewal is subjected to performance review.

Qualifications

• Bachelor’s Degree in Biological Science, Environmental Science, or related field
• Proficient with basic Microsoft Suite
• Prior experience with seawater aquarium facilities and/or field work is highly preferred.
• Must be willing to do intertidal field work, which entails working in muddy environment and working around low tide timings.
• Self-motivated, driven, and a keen interest in research
• Effective oral and written communication skills in English

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 Responsibilities

The Tropical Marine Science Institute (TMSI) invites applicants for the above post.

• Regular field trips onboard research vessels that may extend outside conventional office hours
• Co-ordination of field trips, logistics and pre-field preparation
• Operating of equipment for field work on research vessels
• General maintenance of laboratories and equipment, duties including equipment troubleshooting with R & D engineers and vendors as well as performing scheduled preventive maintenance, equipment set-up and calibration
• Developing and managing standard operating protocols, risk assessments, equipment maintenance documentations
• Post-processing of data collected
• Data entry, statistical analysis, interpretation and report writing
• Purchasing of consumables and equipment
• General administrative duties

Salary will commensurate with qualifications and experience. The appointment will be for a period of one year and extendable depending upon the candidate’s performance. Only shortlisted applicants will be notified.

Qualifications

• Degree in Electronics, Electrical Engineering or equivalent
• Meticulous
• Strong troubleshooting and analytical skills
• Resourcefulness, independence and ability to learn fast
• Ability to work outside conventional working hours, when required
• Proficient in MS Office applications (e.g. Word and Excel)
• Good written and verbal communication skills in English

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 Food Science and Technology (FST) at the National University of Singapore is recruiting a team of dedicated full-time lecturers. The position is on a non-tenure Educator Track, contracted for three years in the first instance and renewable subject to good performance.

Responsibilities:
• Teach various core FST subjects at undergraduate and graduate level, supervision of Honours students and graduate students and involve in pedagogical activities such as course material development, student counselling and mentoring, student performance evaluation, and evaluation of program outcomes.
• Participate in curriculum design. Explore the effective use of new media to enhance learning experience.
• Promote best practices, innovate educational technologies and support evolution of education strategies.
• Demonstrate engagement by leading/contributing expertise to the departmental projects, events and initiatives.

Qualifications

• PhD in a relevant discipline. Desirable ones include food science and technology, human nutrition or public health.
• University-level teaching experience with good student feedback preferred.
• Preference will also be given to those with relevant work experience and those who bring professional capabilities.
• Ability to work independently to manage academic and associated activities, including the ability to work towards deadlines.
• Excellent communication and interpersonal skills, with a proven ability to work collaboratively as part of an interdisciplinary team.
• Commitment to continual pedagogical improvement and a scholarly approach to education.

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

A senior post-doctoral position with more than 3 years post Ph.D experience in Biomedical research. Candidate should ideally have cancer biology background with expertise in mitochondrial biology and cellular apoptosis. A suitable and successful candidate will be given the responsibility to design and conduct experiments with specific abilities in cell death and apoptosis using various quantitative and functional assays. The candidate should be available to commence as soon as possible.

Qualifications

• Previous experience in functional genomics/precision oncology approaches to work on resistant models of lung cancers to identify mechanism(s) of resistance in resistant models of lung cancers.
• Experience with the development of functional assays for phenotypic screening, involving the use of high-throughput flow cytometry, high-content drug screening, and large scale data analysis.
• Willingness to pick up mentorship position for Ph.D students and junior members.
• Previous experience with handling and analysing human clinical samples will be preferred.
• A Ph.D in cancer biology (>3 years)
• Strong track record of research achievement supported by high-quality publications in relevant field (BCL-2 and cell death biology).
• Skills in hands-on use of relevant research methods.
• Able to work independently, with strong problem-solving ability.
• Effective communication and presentation skills, with a strong track record of presentations at international conferences.

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

(1) Design and Synthesis of electrocatalyst for oxygen evolution reaction of water electrolysis.
(2) Structure characterization and simulation of the obtained electrocatalysts.
(3) Performance test and mechanism study of the obtained electrocatalysts.

Qualifications

Master degree in MSE, Chemistry or other relevant majors.

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

• Working on numerical modelling of weather and climate using high resolution climate models.
• Parameterization/Optimization of the climate models
• Working on Supercomputing platforms/Linux platforms for Numerical Weather Prediction and Climate Modelling
• Data processing and data analyses
• Data visualization
• Publishing research in peer reviewed journals
• Presentation of research in workshops/conferences

Qualifications

• A PhD in Climate/Atmospheric Sciences
• Good knowledge of tropical meteorology and atmospheric dynamics
• Experience in Numerical modelling with the WRF model
• Experience in handling supercomputing platforms
• Knowledge of Unix systems
• Expertise in programming languages such as NCL, GrADS, Python
• Expertise in shell scripting

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

Applicant is invited for a Research Fellow position in the Centre for Biomedical Materials Applications & Technology (BIOMAT), to work on an industry research project.

Qualifications

• Applicant should possess a Ph.D Degree in Engineering or Materials Science, preferably with a background experience / knowledge in materials and material characterisation.
• Ability to work independently, good team-working and communication skills are essential.