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position) Designing a machine-learning-based bias correction method using retrospective forecasts and reanalysis data for comparative calibration. Topic 3: Development of seasonal prediction models (one–two
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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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are inherently social beings. We predict how others will respond to our own actions and coordinate our own and others’ behavior based on these predictions in order to live in harmony with those around us
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decarbonization •Decentralized energy systems •Social acceptance of smart energy technologies •Data governance •Institutional design •Equitable and innovative business models * Assigned department Existing
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, architectures, and algorithms. Specifically, we investigate energy-efficient computer architecture for machine learning based on novel devices and computing principles, device-aware machine learning algorithms
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Scientists or Postdoctoral Researchers who mathematically study collective social behaviors, leveraging approaches such as evolutionary game theory, network science, and agent-based simulations. We
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modelling across 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
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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 education and research. Position
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research project, etc. ＊The applicant will be assigned to an appropriate position based on his/her ability, aptitude, etc. Job description Specifics of the job description and work location will depend
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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