370 computer-programmer-"https:"-"U"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UNIV" Fellowship positions in Singapore
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The School of Materials Science and Engineering (MSE) provides a vibrant and inter-disciplinary research environment in key areas such as computational materials science, nanomaterials, low
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expected to join at the end of 2025 or early 2026. The position is a one-year appointment and might be renewed up to 2 years based on the performance and career plan of the hired person. Responsibility
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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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based on performance and funding availability. Review of applications will begin immediately and continue until the position is filled. Qualifications • PhD Degree in Electrical and Computer Engineering
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highly numerate subject (e.g. engineering, mathematics, physics, chemistry, statistics, econometrics, computer science, climate science) is advantageous. For Research Fellow and Senior Research Fellow
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for coordinating the delivery of our education programmes, managing cross-functional workstreams that enable effective research and education programme execution across the Centre, and contributing
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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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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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an LLM-based chatbot to align it with computational thinking and AI learning objectives, handling and coordinating large-scale data collection, analysing data around human-AI collaboration, students