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, based on observational datasets, reanalysis products, and numerical models. 3. Development and evaluation of efficient observation methods for the atmosphere and ocean surface. * Assigned department
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optical fiber strainmeters, borehole tiltmeters, and high-precision seafloor pressure gauges with on-site calibration. We are also advancing observation technologies for boreholes drilled by the deep-sea
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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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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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, including its hydraulic observations, to clarify ocean–solid earth change phenomena, and making observations and models to understand spatiotemporal oceanic changes to enable advances in underwater acoustic
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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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a project examining how mitotic stress drives cellular and organismal aging. [Work content and job description] The successful candidate will work with cell culture systems and mouse models and will
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of the recruitment and description of the project] * Background of the recruitment and description of the project We have been developing federated learning AI models for medical image diagnosis and conducting
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), particularly deep learning, in order to develop more advanced AI technologies and to pioneer their applications in the natural sciences. For more information, please refer to the following website: RIKEN Center
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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