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and solve them with various engineering approaches.Our laboratory aims to design faster and more scalable quantum computers by exploring their systems and software, as modern computer engineering
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mathematical information science approaches, such as scientific machine learning. Potential research topics include, but are not limited to: (1) Bayesian estimation of 3D velocity structure models using ocean
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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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technology and develop human resources. The AI Computing Team explores the design and realization method of advanced machine learning systems by working across multiple layers, including circuits, devices
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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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“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
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; identification of novel phases of matter through machine learning; and the development of new algorithms for the simulation of quantum matter. Applications from strong candidates with complementary interests
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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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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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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