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” in the Moonshot R&D project (Goal 8) https://www.jst.go.jp/moonshot/program/goal8/84_kotsuki.html [Work content and job description] The selected person will address numerical modeling of heavy
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seek researchers to engage in: - Modeling-based analysis of groundwater flow and material dynamics in the Kumamoto region - Numerical analysis of water cycle variability using hydrological and
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assess the biological response to environmental changes in the ocean (e.g. global warming and acidification) and to predict the future capacity of the ocean to absorb carbon using numerical modelling
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inference, computational model, neuromorphic artificial intelligence, generative model, neural data analysis Our lab website: Brain Intelligence Theory Unit, Isomura Lab https://unifiedtheory.jp/en
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the university research community is fully international, with more than 50 countries represented. OIST is rapidly gaining recognition in the worldwide academic community as a model for excellence in
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microbial cell systems adapt to environmental perturbations. Using microbial cells as model organisms, the group integrates approaches from cell microbiology, biophysics, nano/microfluidic device engineering
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. [Work content and job description] (Immediately after hiring) Construction of a machine learning model describing the relationship between input data (such as solar cell structure, fabrication process
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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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analytical techniques for marine environmental restoration; and studying marine environment-ecosystem co-variation using environmental indicator organisms. 2. Making observations and models to understand
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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