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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- Duke Kunshan University
- Harbin Engineering University
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- Central China Normal University
- The Chinese University of Hong Kong
- The Hong Kong University of Science and Technology (Guangzhou)
- UNIVERSITY OF MACAU
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- Beijing Academy of Quantum Information Sciences
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- Institute of Theoretical Physics
- Jinan University - University of Birmingham Joint Institute
- Macao Polytechnic University
- Peking University
- TAIPEI MEDICAL UNIVERSITY (TMU)
- UNIVERSITY OF THE WEST OF SCOTLAND
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areas in Mathematics and AI: Machine Learning, Statistical Learning, Optimization, Computational Modelling, etc . Candidates with strong research potential or established academic records in these areas
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administration or data analytics, such as Applied Psychology, Organisational Behaviour, Statistics, Machine Learning, and so on; Excellent oral and written communication skills in English, including the ability
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seeks a distinguished scholar for a faculty position at the Full Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic
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Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic theory and econometric analysis. We are particularly interested in
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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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Science (Ref: FST241110) Job Description Candidates with expertise in one or more of the following areas: Database Management Systems, Programming Languages, Machine Learning, Data Mining, Data Processing
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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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, assessment, and educational research. They will bring expertise in contemporary pedagogies, including co-creation and active learning, and demonstrate effective practice in digital education and online
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exploration of further potential locations to develop the SE model With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal