464 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Singapore
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, cultural programs and services, these hubs are becoming vital spaces for community engagement and wellbeing in dense urban settings. This role offers a rare opportunity to work across public health
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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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, including specialised equipment, software, and research participant incentives Lead the recruitment of participants for experiment sessions and focus groups Conduct literature reviews Plan the necessary
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to high-impact research within a leading neurobiology programme at NUS. Research Support Assist in the design, planning, and execution of experiments aligned with project objectives. Work closely with
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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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Project Overview The Antimicrobial Resistance Interdisciplinary Research Group (AMR IRG) is a unique translational research and entrepreneurship program aimed at solving the growing threat
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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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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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: - 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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. Programming & Software Development: Proficiency in Python, PyTorch, JAX, or other ML frameworks Computing: Some experience with large-scale datasets, parallel computing, and GPUs/TPUs. Algorithm Development