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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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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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research and open up international prospects for their future career. The programme offers a two-year research position at one of the three universities, preferred by the applicant, and local disciplinary
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 19 hours ago
& PEWER_Level B_Research Fellow_SOCO_CSS_2026.pdf Opportunity to work on a high-impact Defence-funded research project under the ASCA Emerging and Disruptive Technologies program. Develop cutting-edge AI planning
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you have a background in topological quantum computation? Do you want to further your career in one of the UK’s leading research-intensive universities? You will work on the theory and simulation
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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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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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12-month contract with option to extend Reports to: Future Textiles Curriculum Manager Location: Dumfries House, Cumnock About the Programme This intensive programme is designed to develop the next
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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affect oyster phenotypes targeted for improvement. The fellow will also gain experience using advanced computational methods to develop tools that can accurately predict desirable phenotypes. With