282 data-"https:" "https:" "https:" "https:" "https:" "https:" "Here We Are" research jobs at Nanyang Technological University
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-to-day research operations, such as data storage, budgets, expenses, assets, and ethics approvals. Key Responsibilities: Design and conduct research aligned with the Centre’s research pillars
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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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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to work on the catalysis for CO2 related
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in its excellent research capabilities in areas including automotive mechanical and electrical design, data management, life cycle sustainability management through technology and materials innovation
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to advance MOF‑based electrochemical and
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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operations, such as data storage, budgets, expenses, assets, and ethics approvals. Key Responsibilities: Conduct independent and collaborative research applying AI and machine learning techniques
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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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an emphasis on technology, data science and the humanities. The Dementia Research Centre (Singapore) (DRCS) conducts human research in neuropsychology, neuroimaging and biomarkers to advance understanding
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an emphasis on technology, data science and the humanities. The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science