57 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" uni jobs at Nanyang Technological University
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details, please view https://www.ntu.edu.sg/cus We are looking for a Research Associate who will be based in School of Civil and Environmental Engineering (CEE) and will be expected to work effectively in
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Part-Time Lecturer is expected to teach this postgraduate course commencing in January 2026. This course will be offered to students taking NTU-TUM (ICD) MSc Programme with the objective to impart
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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 We are seeking a highly motivated Research
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Mathematical Sciences of NTU provides a multidisciplinary academic program that provides students with a wide-ranging and up-to-date education. It offers undergraduate training leading to BSc (Hons) in Physics
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Sciences (MAS) in the School of Physical and Mathematical Sciences of NTU provides a multidisciplinary academic program that provides students with a wide-ranging and up-to-date education. It offers
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Applied Physics in the School of Physical and Mathematical Sciences of NTU provides a multidisciplinary academic program that provides students with a wide-ranging and up-to-date education. It offers
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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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to cutting-edge academic research and supports research and development initiatives across government, industry and academia. For more details, please visit https://www.ntu.edu.sg/nice . Job Description We
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, please view https://www.ntu.edu.sg/empower We are looking for an experienced Research Associate to work closely with a team of researchers, led by PI – Professor Victoria Leong, and to drive and fulfill
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Wee School of Communication and Information’s MSc in Knowledge Management (MSc KM) programme, introduces students to the principles and practices of knowledge discovery and data mining. It covers