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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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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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Electrical Engineering Nuclear Physics High Energy Physics Data Science / Machine Learning (more...) Particle Physics Appl Deadline: 2025/11/30 11:59PM (posted 2025/06/26, updated 2025/06/22, listed until
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Astrophysics Nuclear Physics High Energy Physics Data Science / Machine Learning (more...) Particle Physics Appl Deadline: 2025/11/30 11:59PM (posted 2025/06/26, updated 2025/06/22, listed until 2025/12/31