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findings, and contribute to the advancement of our research agenda. The work is at the intersection of Information Theory and Probability Theory; The main areas of interest include (but are not restricted
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“Construction of Random Network Representations of Quantum Spacetime and Gravitational Learning Models (in Japanese only)"at the iTHEMS Division of Fundamental Mathematical Science. We welcome applications from
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modelling across different depths of human evolutionary history, building on methods published in Speidel et al, Nature 2025 and application to new large-scale modern and ancient genetic data. - Developing
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of information theory, mathematical modeling and machine learning and their application to medical science problems (5) Deep Learning in Biomedical Sciences (6) Theory and methods on prediction, control and
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Computation and Adaptation , RIKEN Center for Brain Science (Laboratory Head: Taro Toyoizumi) Medical Data Deep Learning Team , Advanced Data Science Project , RIKEN Information R&D and Strategy Headquarters
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is known as one of the top research universities in Japan. The research group is new but rapidly growing due to success during recent years. We already have a wide range of advanced research facilities
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Researchers to join the Mathematical Social Science Team and advance mathematical research aimed at deepening our understanding of collective social phenomena and contributing to the realization of a stable and