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advanced research area such as data science and AI, nano/quantum technologies, high-performance computing, multiscale and/or multiphysics analysis, and advanced measurement techniques. [Work content
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to solve various social issues, and we are engaged in research fields such as information and communications, computing, sensing, power electronics and systems, quantum devices, semiconductor devices
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description] Research and education in the Department of Mathematical and Computing Science, and related administration work of the Institute * Assigned department Existing departments [Work location
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; however, inquiries regarding other related fields are also highly welcome. [Research Areas] Networks, IoT, AI, Cloud Computing, Information and Media Engineering, Biomedical and Medical Engineering, Brain
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in AI, machine learning, and high-performance computing, uses molecular dynamics, coarse-grained simulation, and multiscale analysis to elucidate structural formation, dynamics, and the mechanisms
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high-performance computing, thereby helping to develop and attract highly skilled information professionals https://www.kit.ac.jp/en/ [Work content and job description] Work in: 1. Research and
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] * Background of the recruitment and description of the project Quantum technologies are expected to make important developments in various fields of engineering including computing, sensing, metrology, and
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National Institutes of Natural Sciences, National Institute for Physiological Sciences | Japan | 18 days ago
motivated to advance brain research through data science and the enhancement of analytical technologies—including the development of large-scale data analysis methods utilizing high-performance computing
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high-performance computing. The successful candidate will promote multiscale research integrating macroscopic fluid and transport phenomena with microscopic molecular behavior and extend this research
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engineering by integrating AI, data science, and high-performance computing with numerical simulation and the understanding of physical phenomena. With AI for Science and digital twin technologies as