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principle, active inference, triple equivalence, and related theories 2.Develop neuromorphic (biomimetic) learning algorithms for next-generation artificial intelligence 3.Develop a universal generative model
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quantum information, develop techniques for quantum control and measurement, build quantum computing hardware and software, and explore novel applications. Our main interest is to propose quantum algorithms
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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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framework for developing advanced IT professionals. AI is inherently data-driven, shaped by large-scale, high-quality data and algorithms that efficiently learn from it. Data engineering and statistical
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breakthrough and to contribute to the welfare of society and humanity through developing innovative technologies. We also conduct research on ethical, legal and social issues caused by the spread of AI
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-edge research in the field of information networks or information security. This position is designed to enhance our research and educational framework for attracting and developing advanced IT