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various processes in modern machine learning, including learning, inference, and generation. In particular, we are working to establish novel theories and algorithms that enhance the efficiency
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sciences. At the time of appointment, it is not necessary for applicants to be machine learning experts. We welcome candidates who have established expertise in fields such as physics, neuroscience
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an objective, scientific approach based on prediction to the sustainable development of human society. [Keyword] Data Assimilation, Prediction, Machine Learning, Simulation, Statistical mathematics For further
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information theory, thermodynamics, and machine learning. In particular, our team focuses on non-equilibrium open quantum systems and quantum thermodynamics, with a central emphasis on exciton Bose–Einstein
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of information theory, mathematical modeling and machine learning and their application to medical science problems (5) Deep Learning in Biomedical Sciences (6) Theory and methods on prediction, control and