170 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" Fellowship positions at Nanyang Technological University
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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
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Conceptualise studies and develop research designs Plan, execute, and manage research projects end-to-end Analyse data and synthesize findings Disseminate research through publications, presentations, and
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, documentation, and presentations) - essential for data analysis and communication with stakeholders Proficiency in hard skills, such as programming (Python, C++), machine learning frameworks (PyTorch, TensorFlow
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Proficiency in scientific programming and simulation tools (e.g., Python, MATLAB) Proven ability to conduct independent research, publish high-quality work, and collaborate effectively Strong written and oral
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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simulation for physical systems. Strong foundation in mathematical modeling, simulation and quantum mechanics. High proficiency in scientific programming (Python, C++, MATLAB, or similar), with experience in
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. Experience handling complex, multi-modal datasets (e.g., biological, imaging, environmental, or data). Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g
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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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research findings clearly. Design and conduct experiments, analyze data, and draw meaningful conclusions. Work with data analysis software, programming languages, and simulation tools. Oversee the transition