117 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab"-"IFM" Fellowship positions at National University of Singapore
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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
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students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The candidate will work on analytical aspects of quantum information theory, e.g
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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
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Yih-Cherng Liou (NUS), along with Dr. Caroline Wee (IMCB, A*STAR) are looking for a bioinformatician or data scientist to contribute towards a multi-omics integration effort of transcriptomics
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 12/02/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS
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for a Senior Bioinformatician to support and lead advanced research with clinical and translational impact, driving the generation of high-quality data and analyses that underpin high-impact publications
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 11/03/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS
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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
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with the PI and local research teams • Manage field-based data collection, including surveys, interviews, focus groups observational assessments • Design and validate survey instruments and context
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materials using DFT (VASP) and molecular dynamics with machine learning force fields is desired. • Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including