119 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions at National University of Singapore
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Pathology in the Emerging Infectious Diseases Signature Research Programme. The candidate is expected to work on a project examining immune responses to viral pathogens and allergic diseases by performing a
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multidisciplinary research programme focused on developing advanced AI-driven methods for neuroimaging, digital phenotyping, and population brain health. This programme brings together expertise in artificial
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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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: Research Staff Location_ONB: Outram Campus Posting Start Date: 06/10/2025 Job Description The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery
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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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organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements Development of data collection and storage framework Plan and perform the collection
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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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data. Designing mathematical models. Developing simulation program. Designing optimization or learning-based algorithms. Working on research projects, supervising research students, and preparing
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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
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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