281 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions in Singapore
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position within a Research Infrastructure? No Offer Description As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits
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department range from clinical pharmacology, systems pharmacology, to basic molecular and cellular pharmacology. More information on the department is available at http://medicine.nus.edu.sg/medphc/index.html
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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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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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sustainability. For more details, please view https://www.ntu.edu.sg/ase . The Wetland Carbon Lab at NTU’s Asian School of the Environment (ASE) focuses on understanding the role of aquatic ecosystems, including
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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 carry
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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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programme Is the Job related 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
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the promotion and development of international law. CIL's vision is to become a regional intellectual hub and thought leader for research on and teaching of international law. More on CIL can be found here: https
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of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop software prototypes for AI-for-Science systems tailored to scientific discovery and data