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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- Harbin Engineering University
- Haide College, Ocean University of China;
- Hong Kong University of Science and Technology(Guangzhou)
- Institute of Theoretical Physics
- Jinan University - University of Birmingham Joint Institute
- School of Sciences
- The Hong Kong University of Science and Technology (Guangzhou)
- The Hong Kong University of Science and Technology (Guangzhou);
- UNIVERSITY OF MACAU
- UNIVERSITY OF THE WEST OF SCOTLAND
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks, generative artificaial
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postdocs, tenure-track positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Quantum Algorithms, Quantum Machine Learning, Quantum
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electronics/sensors technology, machine learning/programming, physical ergonomics/cognitive ergonomics, or related fields to drive cutting-edge product design innovation. The role also involves designing and
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Vision, Machine Learning and Aritificial Intelligence, and Human-Centered Computing. RESPONSIBILITIES Applicants will have an adequate level of teaching experience, have published high-quality papers in
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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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intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, numeral networks, generative artificial intelligence, or mathematical modelling who can: Conduct high
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+ AI framework, and the continued development of new academies to build an institutional ecosystem. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its
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members have been working on statistics learning, granular computing and knowledge discovery, machine learning, deep learning, and specifically interpretable artificial intelligence. Many innovative
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Development Fund (FDCT). Academic staff of IME will be allocated to the Department of Electrical and Computer Engineering, Faculty of Science and Technology (FST-ECE) as home unit. Academic staff can conduct