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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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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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), particularly deep learning, in order to develop more advanced AI technologies and to pioneer their applications in the natural sciences. For more information, please refer to the following website: RIKEN Center
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technology and develop human resources. The AI Computing Team explores the design and realization method of advanced machine learning systems by working across multiple layers, including circuits, devices
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Seeking a Research Scientist or a Postdoctoral Researcher (25-1291)（Sequential Decision Making Team）
to sequential decision-making, such as online learning and reinforcement learning. The candidate is expected to carry out research and publish their findings in top machine-learning conferences, and help in
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. [Work content and job description] (Immediately after hiring) Construction of a machine learning model describing the relationship between input data (such as solar cell structure, fabrication process
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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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mathematical information science approaches, such as scientific machine learning. Potential research topics include, but are not limited to: (1) Bayesian estimation of 3D velocity structure models using ocean
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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
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, Division of Applied Mathematical Science (Team Director; Eiryo Kawakami) (5) Medical Science Deep Learning Team , Division of Applied Mathematical Science (Team Director; Jun Seita) (6) Prediction