1,061 computer-science-programming-languages-"UCL"-"UCL" positions at Nanyang Technological University
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involved in the project. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably Master’s degree in Computer Science
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We are seeking a part-time lecturer capable of teaching a specialization module in qualitative social science and fieldwork methods. The ideal candidate will be able to teach social science research
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media channels under the Asia Creative Writing Programme (ACWP) to optimise the content and reach to the different audiences (e.g. Facebook, Instagram, Twitter, email). Generate, edit and share engaging
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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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; Theory; Quantum Algorithms / Computation; Software Engineering; Programming Languages; Logic / Verification Responsibilities: Research: The appointee is responsible for undertaking high-quality
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Science, Informatics or equivalent. Independent
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international research grants. Job Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Proven research track record demonstrated by publications in top
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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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with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably Master in Computer Science, Electronics Engineering or relevant fields
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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