370 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" Fellowship positions in Singapore
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, or district energy systems. Experience with system optimisation and techno-economic analysis of energy systems. Proficiency in scientific computing environments such as Python, MATLAB, Julia, or Modelica
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interventions. The programme draws on a richly phenotyped biorepository of stroke patient samples, comprehensively profiled by whole-exome sequencing, RNA-seq, and proteomics, with clinical outcomes tracked over
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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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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background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one
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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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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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Research Fellow to join our research programme on light-driven microrobots for biomedical applications. The successful candidate will contribute to the design, fabrication, characterization, and control
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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