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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- Duke Kunshan University
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- Harbin Engineering University
- Macao Polytechnic University
- The Chinese University of Hong Kong
- UNIVERSITY OF MACAU
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- Central China Normal University
- Hong Kong University of Science and Technology(Guangzhou)
- Jinan University - University of Birmingham Joint Institute
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- The Hong Kong University of Science and Technology (Guangzhou)
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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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science, artificial intelligence, computer vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in
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allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/ . Application Procedure Applicants should visit https://career.admo.um.edu.mo
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technologies in education: Artificial Intelligence in Education Learning analytics, data science, and educational data mining Machine learning applications in educational contexts Technology-enhanced learning
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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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+ 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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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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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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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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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