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://www.kikn.fms.meiji.ac.jp/Crest-AHC2022/index_e.html [Work content and job description] (1)Study on a new algorithm for differentially private anonymization (2)Development of proof-of-concept using smartphone apps or python
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approaches from cell and developmental biology, evolutionary biology, and ecology with physical functional analyses based on bio-photonics, -thermodynamics, and -mechanics. We create structural variations
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mechanics/molecular mechanics (QM/MM) calculations are used to examine chemical reactions occurred in enzymes. Furthermore, we develop novel simulation algorithms and new models for biomolecules to overcome
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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