500 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" uni jobs at Nanyang Technological University
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The Corporate Communications Office (CCO) enhances NTU’s reputation by raising awareness of the University’s vision, mission, and achievements in education, research, and innovation. CCO is home to a world-class team of communicators that has won international, regional and local awards in...
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The Singapore Indoor Farming Systems (SingFarm) is a new CREATE programme led by NTU Singapore and Wageningen University and Research (WUR), to use a systems approach to develop an efficient indoor
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datasets Conduct statistical analyses and prepare proof-of-concept demonstrations across selected literature domains Job Requirements: Bachelor’s degree in Chemistry, Data Science, Computer Science, or a
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infrastructure/system operations in School of Chemistry, Chemical Engineering and Biotechnology (CCEB) Ensure that all program and department operations run seamlessly. Manage the implementation of infrastructure
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in Nanyang Business School (NBS) Ensure that all programme and department operations run seamlessly. Manage the implementation of Learning Management System changes and maintenance routines as agreed
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. Supports ad-hoc requests concerning the laboratory e.g. lab visits Assists Programme Director, Programme PIs and Hub Manager to write and prepare communications content and interface with industry. Assists
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/program, committees, and events/conferences and experience with IP/commercialisation workflows and industry partnerships are preferred. Demonstrated good knowledge, skills and expertise in supporting
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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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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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. Conduct experimental studies using GPU-enabled computing resources for model training, inference, and simulation-based evaluation. Support rapid prototyping and iteration of research ideas, from concept