517 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" "Univ" uni jobs at Nanyang Technological University
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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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worthiness of autonomous vehicles cyber risk management, advanced threat intelligence secure-by-design for IoT and policy governance of cybersecurity For more details, please view https://www.ntu.edu.sg/cysren
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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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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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administration and programme execution to ensure the smooth delivery of NTU’s Second Major in Entrepreneurship (SMiE) and Minor in Entrepreneurship (MiE). Reporting to the Assistant Director, Lead, Academic
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Senior Programme Manager / Programme Manager, AI4S Programme The National Research Foundation (NRF) is a department within the Prime Minister's Office, and we set the national direction for research
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background in Linux administration, automation, and networking (TCP/IP, HTTP). Experience with distributed storage and computing (Ceph, Lustre, Open MPI, NVLink). Decent communication skills for interacting
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LLM- Assisted Computational Materials Science as part of the MSc in Chemical Engineering Programme. Your responsibilities would include, but not be limited to, the following: Development, coordination
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the implementation of NIE’s Automation Empowerment Programme, a flagship initiative under the Technology Roadmap for the Future of Education (TRFE) (https://www.ntu.edu.sg/nie/about-us/nie2025-strategic-vision/TRFE
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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