107 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" Fellowship positions at National University of Singapore
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membrane research program, which focuses on the materials-level design of high-performance nanofiltration and reverse osmosis membranes through interfacial polymerization, charge and electrochemical
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 26/01/2026 Job Description The laboratory of Dr. Tang Hong-Wen within the Signature Research Programme in Cancer and Stem
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requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data
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requirements Development of research hypotheses Plan and perform the collection and organization of corporate financial and sustainability disclosures Plan and perform the collection and organization
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (LCPC/EA) Posting Start Date: 07/01/2026 Job Description: Job Description The Programme in Health Services and Systems Research
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) to join our research team, focusing on the morphological characterization of biological samples. This role is part of our broader mechanobiology research program, which investigates how cells and tissues
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: - Proficient in programming languages such as Python, with experience in using AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiar with high-performance computing (HPC) environments and
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the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred). Skill and
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, cultural programs and services, these hubs are becoming vital spaces for community engagement and wellbeing in dense urban settings. This role offers a rare opportunity to work across public health
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University of Singapore invites applications for Research Fellow / Research Associate to be involved in The Integrated Women’s Health Program (IWHP) longitudinal cohort and the MUSE Randomized Control Trial