124 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" Fellowship positions at National University of Singapore
Sort by
Refine Your Search
-
Job Description Job Alerts Link Apply now Job Title: Research Fellow (Data Science - HRPC) Posting Start Date: 27/08/2025 Job Description The National University of Singapore (NUS) invites
-
friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description Conduct theoretical research in quantum information and quantum foundations, including quantum non
-
Job Description Job Alerts Link Apply now Job Title: Research Fellow (Astrophysics/Data Science) Posting Start Date: 11/08/2025 Job Description: Job Description Applications are invited for a
-
Job Description Job Alerts Link Apply now Job Title: Senior Research Fellow (Health Services and Data Science) Posting Start Date: 03/06/2025 Job Description: Job Description Optimizing
-
Job Description Job Alerts Link Apply now Job Title: Research Fellow (Quantum Information Theory) Posting Start Date: 18/09/2025 Job Description: About the Centre for Quantum Technologies (CQT
-
Job Description Job Alerts Link Apply now Job Title: Research Fellow (CBDS/SES) Posting Start Date: 12/02/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a
-
for teaching; however, if the candidate wishes to teach, it may be possible. Qualifications PHD in Computer Science/Quantum Information with a strong record of publications. More Information Location: Kent Ridge
-
, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically
-
looking for a bioinformatician or data scientist to contribute towards a multi-omics integration effort of transcriptomics, metagenomics, proteomics, and metabolomics data in a new project investigating
-
looking for a bioinformatician or data scientist to contribute towards a multi-omics integration effort of transcriptomics, metagenomics, proteomics, and metabolomics data in a new project investigating