348 structural-engineering "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship positions in Singapore
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The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU), Singapore, is a leading school for Sustainable Built Environment. The School plays an integral role
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proposals and reports. Qualifications • A PhD in Mechanical Engineering, Chemical Engineering, Materials Science, Fire Safety Engineering, or a related field. • Strong background in
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to link the biomolecular world of life with the networked world of technology. We are looking for a Research Fellow/ Associate to develop translational potential of IDMxS technologies within the institute
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on multiscale subsurface imaging using advanced geophysical imaging techniques and on investigating how subsurface structure, material composition, and geodynamic processes influence regional seismicity. Key
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: PhD degree in learning sciences, educational technology, human-computer interaction (HCI), information technology, AI or relevant fields. Prior experience and proficiency in educational data mining and
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Engineering on leading projects that uses advanced materials for energy and environment related challenges. Qualifications The candidate should have a Ph.D. in Materials Science, Chemistry, Engineering, or a
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management tasks • Prepare research proposals; • Monitor and keep up to date the latest technology and trend in related areas; • Organize, and assist technical workshops, networking events and conferences
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of Materials Science and Engineering at National University of Singapore (NUS). With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. As a Research Fellow
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Job Description Job Alerts Link Apply now Job Title: Research Fellow in Energy Studies Institute (National Energy System Modelling) Posting Start Date: 25/11/2025 Job Description: Energy Studies Institute The Energy Studies Institute (ESI) is a research institute at the National University of...
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Intelligence, Machine Learning, Biomedical Engineering, Data Science, or a related field. • Strong background in AI, deep learning, and/or federated learning, supported by publications. • Demonstrable