625 computational-physics-"https:"-"https:"-"https:"-"https:"-"Univ" positions at Nanyang Technological University
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multiple priorities Experience in system implementation, business process re-engineering and process documentation Experience with computational methods, data analysis or modelling to support organizational
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/she shall play an important role in the entire recruitment process for the NGL programme, from marketing to outreach and admissions. The manager will also oversee one NGL staff member responsible
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proposal preparation Requirements: PhD degree in chemistry, physics, chemical engineering, computer science, or other related fields Research background in theoretical catalysis/materials science, AI/ML
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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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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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of nonlinear optics through the integration of artificial intelligence. The successful candidate will lead projects that combine the development of Physics-Informed Neural Networks (PINNs) with advanced fiber
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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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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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on managerial decision-making and strategic processes in AI-enabled organizational contexts. Process and analyze multi-source survey, experimental, and organizational datasets, and support preparation of research