596 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" research jobs in Singapore
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teaching statements, and at least three letters of recommendation. More information about the university and the department can be found at https://www.nus.edu.sg . Application Materials Required: Submit
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laboratory in the Department of Chemical and Biomolecular Engineering (https://cde.nus.edu.sg/chbe/staff/zhu-guan-zhou/ ) pioneers advancements in new battery technology through innovations in electrode
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international law. More on CIL can be found here: https://cil.nus.edu.sg/ About the Oceans Law and Policy Team: Ocean Law & Policy is one of CIL’s core programme areas and was established over 10 years ago. It
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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insights from cutting-edge clinical and translational research. More information on the Department’s research portfolio may be obtained from https://medicine.nus.edu.sg/obgyn/. The Core Support Faculty will
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SPMS is a School under NTU College of Science. Our School is organized into two divisions: the Division of Mathematical Sciences and the Division of Physics and Applied Physics. We are home to
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function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. For more details, please view https://www.ntu.edu.sg/sbs
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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data collection from child–parent dyads (e.g. cognitive data from computer-based tasks, biosample collection, electrophysiological data, physical activity measures) c) Perform data entry, data management
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in numerical analysis, partial differential equations (PDEs), and scientific computing. Solid background in machine learning theories, with specific experience in Physics-Informed Machine Learning