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simultaneous recording of brain activity from two or more individuals. The successful candidate will work on developing experimental paradigms that model real-world social interactions, with a particular focus
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, and system architectures for large language model (LLM) inference serving that achieve low latency and high bandwidth with minimal energy consumption. For more information about the research team
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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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applicants will likely work on the development and/or application of new statistical techniques in one of the following areas, depending on suitability and interest: - Improving admixture modelling across
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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