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heavy ion beams at the accelerator facilities in Germany and China. We also initiated and lead the project to study hypernuclei by analyzing the nuclear emulsion data with machine learning techniques. We
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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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Universe (KMI)-PD [#31232, KMI-2025-2] Position Title: Position Type: Postdoctoral Position Location: Nagoya, Aichi 464-8602, Japan [map ] Subject Area: AI/Machine Learning / Astronomy Appl Deadline: 2025
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individuals with interest and experience in numerical analysis, including water quality/isotope analysis and machine learning, and who have experience publishing academic papers in these fields. * Assigned
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researcher to develop observational design and impact assessment methods, leveraging techniques such as data assimilation and machine learning. https://www.jamstec.go.jp/ccoar/e/ [Work content and job
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; identification of novel phases of matter through machine learning; and the development of new algorithms for the simulation of quantum matter. Applications from strong candidates with complementary interests