838 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "University of St" positions at Nanyang Technological University
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of PhD/Masters/FYP students. Job Requirements: Preferably PhD in Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge in signal representation/processing, esp
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Singapore's AI efforts. The AI Apprenticeship Programme (AIAP) is a flagship initiative aimed at grooming local AI talent. We are looking for a driven AI Engineer to execute our programmes, lead AI-based
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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on the developed models for agencies/commercial partners Supervise junior researchers and master students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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Electronic Engineering, Computer Science, Mechanical Engineering or related field 3-year research experience in related area Expertise in robotic manipulation systems Knowledge in robotic foundation models
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, please view https://www.ntu.edu.sg/newri . We are looking for a Research Associate to conduct research on membrane and separation technology for desalination, resource recovery, and decarbonization. Key
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. Since its launch, there have been 18 batches of apprentices who have embarked on this award-winning programme. The AI Engineer Hub (AIEH) team seeks an AI Engineer to mentor AIAP apprentices by guiding
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appropriate. Job Requirements: PhD in Artificial Intelligence, Computer Science, Data Science, Psychology, Public Health, Biomedical Engineering, or related discipline. Evidence of productive history working in
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology