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development. Specifically, by developing novel methods for detecting interactions between biomolecules and understanding the mechanisms that establish immune tolerance, we seek to propose a new concept in
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. This approach will clarify the mechanisms that have sustained life for 4 billion years, and contribute to sustainable human societal activities. We welcome lab visit and informal contact prior to the formal
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mathematical and computational ideas and methods. Current iTHEMS members' research focus is very diverse, and includes circadian rhythm, evolutionary biology, ecology, genetics, biological engineering
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methods to large-scale, complex problems. Here we aim to establish science for prediction and control for large and complex real-world problems. Human society is facing difficult problems like environmental
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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 new techniques
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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