107 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" Fellowship positions at National University of Singapore
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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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the Department of Civil and Environmental Engineering. This position is part of an exciting research program advancing separation technologies (i.e., membrane and electrochemical) to solve pressing environmental
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within established research labs at CSI Singapore to develop their independent research programs. They will receive a competitive base salary of up to SGD$93,000 per year (not including benefits such as
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to support interdisciplinary projects within the PANDA programme. We are seeking highly motivated colleagues with strong quantitative and analytical skills to contribute to the coordination of research
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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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Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 08/01/2026 Job Description The Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore is looking
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programs in engineering. We are seeking a highly motivated Research Fellow to perform research on flexible electronics, neurological device and interface. The successful candidate will work closely with
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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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: 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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interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python