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description] Topic 1: Multi-model ensemble prediction of weather, sub-seasonal to seasonal climate variability (one position). Constructing a seamless atmospheric forecasting system with a large number of
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earthquake disasters, such as those from the Nankai Trough. The research will focus on refining three-dimensional subsurface structure models of the Nankai Trough region and improving the accuracy and
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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