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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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Field
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simulation, actuators/electronics/sensors technology, control, machine learning/programming, and related fields to drive cutting-edge mechanical and mechatronics design innovation, taking a hands-on approach
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recruitment of Associate/Assistant Professor in Business Intelligence and Analytics (AI Application in Business), with a focus on applied artificial intelligence (AI) or machine learning (ML) in business, or
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an attractive salary between 400,000-500000 RMB/year (~58,000 - 70,000 USD). The project focuses on analyzing machine learning techniques using random matrix tools, with an emphasis on Empirical Risk Minimization
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salary between 400,000-500000 RMB/year (~58,000 - 70,000 USD). The project focuses on analyzing machine learning techniques using random matrix tools, with an emphasis on Empirical Risk Minimization (ERM
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that blend industrial design with advanced technologies. He/she will apply expertise in areas such as machine learning/programming, physical ergonomics/cognitive ergonomics, electronics/sensors technology, or
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positions at all academic ranks. We seek applicants with outstanding methodological foundations in one or more of the following areas: Computer Science, Operations Research, Data Science, Machine Learning and
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backgrounds with strong research potential and a commitment to teaching. Preference will be given to candidates in the following areas: 1.Pure and Applied Mathematics 2.Machine Learning, and Artificial
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, Machine Learning and Artificial Intelligence, Statistics, Management Science, and other closely related areas. Junior applicants must demonstrate a clear and high potential of teaching excellence. Senior
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, China [map ] Subject Areas: Physics / Atomic Molecular and Optical Physics , artificial gauge fields , Cold Atom Physics , Condensed Matter Theory , Machine Learning , Quantum Hydrodynamics , Quantum
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investigator, spearheading funding bids and developing innovative methodologies that blend industrial design with advanced technologies. He/she will apply expertise in areas such as machine learning/programming