86 "and Computer Science" Fellowship research jobs at Nanyang Technological University
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evaluation and publish research outcomes in top tier conferences and journals. Job Requirements: PhD degree in Computer Science or related field Strong scientific publication record Experience in discrete
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at scale for real-world challenges Documentation and scientific reporting Mentoring junior staff Job Requirements: PhD in Computer Science Minimum 5 years software development experience (Entry Level
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to the research program. Job Requirements: A PhD in Computer Science or relevant fields. Strong background in deep learning and multi-modal learning. Strong publication record in top conferences/journals, such as
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powered by AI, Machine Learning and data analytics for applications. Key Responsibilities: Conduct research and development related to AI and Computer Science Collect relevant dataset, and conduct
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on the development of security and privacy enhanced solutions for AI accelerators. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Strong background in
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The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. The Research Fellow will be responsible for the development of a software platform to
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The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. Key Responsibilities: To conduct independent research in quantum machine learning
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The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. Key Responsibilities: To conduct independent research in deep learning. To produce
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The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. Key Responsibilities: To conduct independent research in deep learning. To produce
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The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. Key Responsibilities: Develop new paradigms for intelligent human-computer