445 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" research jobs in Singapore
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in Singapore alongside DSO National Laboratories, Defence Science and Technology Agency (DSTA), Temasek Laboratories @ NUS and @SUTD and the local defence industry. For more details, please view https
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metabolic imbalances contribute to chronic diseases and ageing. Through our research we tackle major health challenges such as obesity and diabetes. For further information, please visit: https
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. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension . Purpose
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context. • Conduct statistical analyses, longitudinal modelling, or machine learning approaches as appropriate. • Develop documentation, codebooks, or tools to support reproducible research. • Lead
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on radionuclide imaging and therapy of cancer (radiotheranostics), multi-modal molecular imaging and nanotheranostics (various forms of nanoformulas). More information on the research work is available at https
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on 15 October and continue until positions are filled. Inquiries may be sent to mat search@nus.edu.sg For further information about the department, please visit https://www.math.nus.edu.sg/ Application
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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. The role will focus on helping to build thermal-flow engineering and
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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 looking for a Research Fellow to design and develop advanced power
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biomarkers for early detection, risk stratification, and treatment response, and by exploring new therapeutic strategies to improve patient outcomes. For more details, please view https://www.ntu.edu.sg
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related