178 parallel-computing-numerical-methods-"DTU" Fellowship positions at Nanyang Technological University
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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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). Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, phase-field simulations). Proficiency in Python, TensorFlow/PyTorch, and scientific computing. Experience in
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, numerical simulations, and report/paper writing. The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC
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Responsibilities: Develop new methods for power systems control. Develop data-driven methods for application in power & energy systems Assist in preparation of teaching materials for electric power related courses
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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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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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project objectives and publishing high-quality journal articles. Key Responsibilities: Conduct experimental test, numerical simulation and life-cycle assessment on solid waste reuse and management systems
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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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The role is part of NTU's Experimental Asset Markets group in the Economics Programme at the School of Social Sciences. The team focuses on lab experiments simulating asset markets to study pricing