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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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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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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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to society through quantum technology. This research team is investigating optical quantum control technology with the aim of developing an optical quantum computer. In quantum systems, quantum states are
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Millimetre wave Electromagnetic simulation We also welcome researchers from different fields: AI (machine learning, big data, etc) Semiconductors As a minimum requirement, you must have a PhD degree in
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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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researchers with an interest in any of the following fields: quantum gravity, field theory, machine learning, statistical physics, random matrix theory, or complex networks. The job description may be changed