343 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "J" Fellowship positions in Singapore
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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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for scientific data analysis Familiarity with plasma physics, especially turbulence and transport, is desirable Proficiency in scientific programming and data analysis, including the use of modern tools and
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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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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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: - 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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control theory (e.g., model-predictive control, etc.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g
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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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findings. Assist researchers in programming, data analysis and literature review in various research projects. Evaluate and interpret collected data and prepare oral presentations or written reports
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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