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focuses on a theoretical and computational studies of condensed matter physics, with emphasis on the following frontier topics: - Topological quantum matter, non-Abelian anyons and topological quantum
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, Shanghai 201210, China [map ] Subject Areas: Physics / Quantum transport in low-dimensional systems , Unconventional and topological superconductivity , Quantum magnetism, quantum phase transitions
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background in differential geometry, algebraic geometry, topology and quantum field theory. However, applications from all well-qualified candidates will be considered. Applicants should have an earned
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optimization algorithms for both estimation and inference. Special emphasis is placed on advancing statistical approaches to address the demands of increasingly complex, high-dimensional, and unconventional data
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, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold, -- systems and control theory, -- algebraic computation theory and cryptography. The position is for two
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, including but not limited to: o Quantum error correction, fault tolerance, and resource optimization. o Entanglement dynamics, quantum control protocols, and hybrid quantum-classical algorithms. o Modeling
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be provided as well. Position Overview: - Conduct research to advance lattice QCD methods, with an emphasis on algorithm optimization and HPC code development. - Collaborate with interdisciplinary
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: Xi'an Jiaotong-Liverpool University (XJTLU) and Corning Suzhou site Collaboration: XJTLU and Corning Conduct independent and collaborative research on flow chemistry processes, including optimization and
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, treatment planning, and patient care. The research will involve data collection and preprocessing, model architecture design, pre-training and fine-tuning, evaluation and benchmarking, and model optimization
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon