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International Research grant, "Next Generation International Research Hub for Algorithms, Combinatorial Optimization and Discrete Mathematics" with project leader Professor Ken-ichi Kawarabayashi (NII
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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"Future-Predictive Digital Systems through Super Dimensional State Engineering". The objective of this project is to develop future-predictive digital systems that facilitate the design and optimization
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, this knowledge will inform strategies to optimize chloroplasts both as efficient bioproduction platforms and as targets for enhancing photosynthetic performance. https://synbryo.weebly.com/ [Work content and job
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expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry, etc. We work on a variety of learning problems, especially those involving supervised
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research utilizing information networks. We focus on maximizing researcher's performances by ensuring efficient network utilization and system/application optimization. Leveraging insights from our
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Singlet and Triplet Excited States, Nature 2022, 609, 502–506. ・Bayesian Molecular Optimization for Accelerating Reverse Intersystem Crossing, Chem. Sci. 2025, 16, 9303–9310. (Scope of change) No change