236 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData" Fellowship positions in Singapore
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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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Health, Life Sciences, or a related field Fascination for the ageing process and experience in observational and intervention studies in humans Proven leadership and team management skills, with experience
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make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely
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Asia and beyond. NBS is AACSB- and EQUIS-accredited and is currently ranked No. 22 globally in the 2025 Financial Times (FT) Global MBA ranking. This makes it the top-ranked MBA programme in Singapore
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Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated...
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The NTU AI-for-X Postdoctoral Fellowship (AI4X-PDF), jointly supported by Nanyang Technological University (NTU) and Singapore’s National Research Foundation (NRF), is a prestigious programme
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The Centre for Urban Solutions is to provide leadership in developing innovative solutions and sustainable technologies for space creation and urban infrastructure development. The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for...
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invites applications for a Research Fellow position in the field of battery fire modelling and safety. The successful candidate will join an interdisciplinary research team working on advanced computational
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. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl