506 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "CNRS" uni jobs at Nanyang Technological University
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) academic and program management tasks, contributing to the smooth operation of academic programs and student success. Key responsibilities: Handling dissertation-related workflows, including calls
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Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
solutions Requirements: Master’s degree in Artificial Intelligence, Computer Science, Optimization, Computational Linguistics, or a related field. Strong foundations in multi-agent systems, NLP and python
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Associate to
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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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Practical experience in the film festival industry. Further information about the University and the School can be viewed at the following websites: NTU : www.ntu.edu.sg WKWSCI : http
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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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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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This role is a key part of the Programme and Office Management team within the NBS Undergraduate Programmes Office (UPO). The Senior Executive is responsible for assisting the UPO functional team
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The Manager is a leadership position overseeing the activities of a specified Work-study Degree Programme (WSDeg Prog) where the role will require the incumbent to contribute both as an individual
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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