526 computer-"https:"-"https:"-"https:"-"https:"-"Institute-of-Computer-Science" positions at Nanyang Technological University
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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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carbon emissions, supporting sustainable practices. Job Requirements: Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficient in data analysis and data
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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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, imbalanced-data, or distribution-shift settings. Job Requirements: PhD in Computer Science, Data Science, or a closely related field. Strong research background in machine learning and artificial intelligence
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footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. We are seeking to hire a Research Engineer to support an advanced research programme on vector search
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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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computer science, Computer Applications, Engineering or related field At least 8 years of relevant experiences in similar role / technical hands-on experience with distributed systems, cloud platforms, and real-time
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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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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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on the requirements of the projects Requirements: Master’s degree in Computer Science/Engineering or equivalent More than 2 papers published at top AI/Machine learning conferences Experience of deep learning and