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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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of the recruitment and description of the project] * Background of the recruitment and description of the project We have been developing federated learning AI models for medical image diagnosis and conducting
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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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contributing to the realization of sustainable water resource management are being promoted. Based on this, we are seeking researchers to undertake the duties outlined below. https://www.sci.kumamoto-u.ac.jp
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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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Commun, 2023) and zebrafish (bioRxiv, 2025). -We developed an unsupervised learning scheme (PredPCA) that extracts the most informative components for predicting future inputs (Nature Mach Intell, 2021
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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