1,415 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions in Singapore
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to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the
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sustainability. For more details, please view https://www.ntu.edu.sg/ase The Organo-Mineral Group (OMG) within the Asian School of the Environment (ASE) is seeking a Research Associate. This position is part of a
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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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education, spearheading groundbreaking research, and delivering unparalleled professional services. For more details, please view https://www.ntu.edu.sg/cee We are looking for a Research Associate in
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education, spearheading groundbreaking research, and delivering unparalleled professional services. For more details, please view https://www.ntu.edu.sg/cee We are looking for a Research Associate in
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undergraduate training leading to BSc (Hons) in Physics or Applied Physics, as well as graduate training leading to MSc and PhD degrees. Details of the Division can be found at https://www.ntu.edu.sg/spms/about
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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 looking for a Research Fellow to focus
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. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with
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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 research assistant. The role
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low