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                Surface (RIS) Nonlinear circuits Millimetre wave Electromagnetic simulation We also welcome researchers from different fields: AI (machine learning, big database, etc) Semiconductors As a minimum 
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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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                . [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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                sciences. At the time of appointment, it is not necessary for applicants to be machine learning experts. We welcome candidates who have established expertise in fields such as physics, neuroscience 
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                an objective, scientific approach based on prediction to the sustainable development of human society. [Keyword] Data Assimilation, Prediction, Machine Learning, Simulation, Statistical mathematics For further 
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                Seeking a Research Scientist or a Postdoctoral Researcher (25-1291)(Sequential Decision Making Team)to sequential decision-making, such as online learning and reinforcement learning. The candidate is expected to carry out research and publish their findings in top machine-learning conferences, and help in 
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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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                ; 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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                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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                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