355 computer-programmer-"https:"-"https:"-"https:"-"UCL" Fellowship positions in Singapore
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be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience 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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programme. PANDA is one of the major research programs of the SSHSPH including faculty members from a variety of disciplines. PANDA aims to understand determinants of nutrition and physical activity
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, fabrication, characterization, and application of advanced nanophotonic materials and devices. Programme and manage research activities, including experimental planning, device design, nanofabrication, optical
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Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and
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public health. The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial
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of Singapore (NUS). The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling
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We are looking for a Research Fellow for the CogniVision AI cameras project led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University
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, while providing research and programme support for IDEL initiatives. Key Responsibilities: • Lead and conduct education research in innovation, entrepreneurship, and venture translation • Develop
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms