177 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions at Nanyang Technological University
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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maritime transport, marine technology, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A record of publications in reputable peer
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biocompatible materials, and associated methods Excellent communication and organizational skills while hard-working and able to meet tight deadlines Able to work independently in gathering information/ data and
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with physical-based and machine learning methods in atmospheric science. Proficiency in Linux-based high-performance computing systems, GPU-based programming and prevailing AI tools. Experience in urban
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field preferred. At least 5 years of relevant experience working in a psychological or education related laboratory or teaching research methods and statistics to Psychology students at the undergraduate
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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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, analysis, or decision support. Contribute to academic publications, open-source releases, and capacity-building activities. Job Requirements: PhD in Computer Science, Data Science, Artificial Intelligence
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experience in data-knowledge fusion-driven dynamic modeling of complex structures, specializing in uncertainty quantification of nonlinear systems and intelligent model order reduction methods, with at least