204 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P" positions at Nanyang Technological University
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The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary
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discipline, with a focus on Cyber Security, Machine Learning and/or Data Mining Strong publication records in reputable journals/conferences Excellent programming skills in e.g., Python, Matlab, C++, etc Good
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Principal Investigators (PIs) in meeting the objectives outlined in the project work plan. The researcher will be responsible for assisting with identification and analysis if ecosystem services, social
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S-Lab for Advanced Intelligence, established in 2020, is a university laboratory at NTU focusing on research and development of cutting-edge AI technologies in computer vision, natural language
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Added advantage if candidate has some knowledge in Programming, R, Python, RPA or related languages This is a 2 years contract appointment. We regret to inform that only shortlisted candidates will be
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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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, automatic testing, program synthesis Excellent background and experience in programming language, especially python Good communication and report-writing skills Strong responsibility for research and work We
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this role, you will: Lead several collaboration projects with China university partners following NTU’s China strategy. Lead the preparation of visit programs from China collaborators to NTU and identify
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Responsibilities: To conduct research into the WebAssembly programming language. To produce publications in top conferences and journals. To offer assistance to any students involved in the project. To collaborate
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, FSE, ISSTA, TSE, TOSEM) in the areas of blockchain security, smart contract analysis, program analysis or decentralized systems. Demonstrated expertise in large language models (LLMs) and their