798 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Nanyang Technological University
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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 Coastal Protection and Flood Management Research Programme (CFRP) aims to advance knowledge in coastal and flood resilience and spur the growth of a vibrant research and development ecosystem
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to provide leadership in developing innovative solutions and sustainable technologies for space creation and urban infrastructure development. For more details, please view https://www.ntu.edu.sg/cus. We
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with schools and research centres within and beyond Nanyang Technological University, Singapore (NTU, Singapore). For more details, please view https://www.ntu.edu.sg/sc3dp/about-us . We are looking
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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/faculty appraisals). Job Requirements: At least a bachelor’s degree Preferably with at least 5 years’ experience in research administration/graduate program management in a tertiary education institution
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. To support the new research project titled: Singapore Parkinson's Disease Programme (SPARKLE) - Theme 5: Neurotech
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Project Officer (Civil Engineering/Materials Science/Mechanical Engineering/Construction Technology)
schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Project Officer to support the research, development, and implementation of 3D construction
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, Computer Science, FinTech, or related fields; strong statistical background. Experience with BERT, LSTM, GRU architectures, and financial risk modeling. Proficient in Python, Linux, and open-source LLM platforms