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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- The Chinese University of Hong Kong
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expertise in areas such as automatic control, mechanics, CAD/ CAE modelling and simulation, actuators/electronics/sensors technology, machine learning/programming, and related fields to drive cutting-edge
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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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project management. Areas of expertise in Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition
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Program is committed to conducting innovative research in three major categories: AI Fundamentals: machine learning, deep learning, data science; AI Core Applications: computer vision, natural
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, Computer Vision, Machine Learning and Aritificial Intelligence, and Human-Centered Computing. RESPONSIBILITIES Applicants will have an adequate level of teaching experience, have published high-quality
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(normally PhD) degree in electrical and electronics, mechatronics, intelligent controls, robotics engineering, computer science, artificial intelligence, computer vision, mobile robotics, machine learning
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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) and
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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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, 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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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