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for seasonal prediction using hybrid physics-machine learning models in R&D item Research on Seasonal Meteorological and Oceanographic Forecast Simulator under Development of Integrated Simulation Platform
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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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group and further enhance your career with us. We are looking for one excellent, highly motivated postdoc researcher. At this position, you will closely work with our collaborators from the University
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, collaborative, and interdisciplinary research environment that fosters scientific excellence and professional development. References: Ohta et al., 2025, bioRxiv Ohta et al., 2021, JCB Meitinger, Kong, Ohta et al
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machine learning. Furthermore, by organizing and integrating knowledge in the interdisciplinary domain between physics and machine learning, we aim to promote cross-disciplinary collaboration and contribute