301 data "https:" "https:" "https:" "https:" "UCL" research jobs at Nanyang Technological University
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow to conduct research on additive manufacturing of advanced structural alloys
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and TCNs, for safety assessment and accident prediction. Process and analyse multi-source traffic data for model training and validation. Publish technical findings in top-tier journals. Job
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an emphasis on technology, data science and the humanities. The Nutrition, Metabolism and Health Programme is addressing one of the world’s most pressing healthcare issue: Over nutrition driven chronic diseases
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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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Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research. We are seeking a highly motivated research fellow to join our dynamic team at the School of Materials
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee This position is part of the research project
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Research Fellow to lead the development and
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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 Assistant to undertake the responsibilities
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, please view https://www.ntu.edu.sg/newri . We are looking for a Research Fellow to support the research project on “Novel High Performance Piezoelectric Thin Film Composite (TFC) Nanofiltration/Reverse
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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