185 programming-"https:" "https:" "https:" "Univ" Fellowship positions at Nanyang Technological University
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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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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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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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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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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 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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. Proficiency in programming languages such as Python, R, or similar. Excellent analytical and problem-solving skills. Ability to work both independently and collaboratively in a team. Previous research
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approaches, share datasets, and integrate results into broader fusion research programmes Job Requirements: PhD degree in physics Demonstrated experience in scientific computing, including programming
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Requirements: A Ph.D. degree in a related discipline (transportation engineering, computer engineering/science, or related disciplines) by December 2025. Expertise in AI, deep learning, and programming (e.g
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), information science, or related fields. Prior experience and proficiency in working with large language models including programming, evaluating, and benchmarking, evaluating. Demonstrated skills in quantitative