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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- BNU-HKBU United International College
- Harbin Engineering University
- ; Technical University of Denmark
- ; Xi'an Jiaotong - Liverpool University
- Beijing Normal-Hong Kong Baptist University (BNBU)
- CITY UNIVERSITY OF MACAU
- Duke Kunshan University
- Hong Kong University of Science and Technology(Guangzhou)
- School of Sciences
- The Hong Kong University of Science and Technology (Guangzhou)
- UNIVERSITY OF MACAU
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the Department of Computing: Computer Science and Software Engineering, Computer Graphics and Animation, Computer Vision, Machine Learning and Aritificial Intelligence, and Human-Centered Computing
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Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition. RESPONSIBILITIES Applicants will have
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ability in AI and machine learning DESIRABLE QUALIFICATIONS/EXPERIENCE: A PhD degree completed in an English and highly international academic environment Postdoctoral experience from highly reputable
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innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners
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This position focuses on developing and applying advanced computational approaches - including Artificial Intelligence, machine learning, and data science - to address fundamental and applied challenges in modern
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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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modeling. These projects will focus on how to leverage ideas from a combination of partial differential equation based computational methodologies and machine learning techniques to develop computational
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working on statistics learning, granular computing and knowledge discovery, machine learning, deep learning, and specifically interpretable artificial intelligence. Many innovative contributions have been
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, brain science, and neuroscience); data science and machine learning; modeling, analysis, simulation and prediction for biological, engineering, physical and quantum systems; probability theory and
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), expansion of academic partnerships, and the establishment of four new Academies. The SE model aims to address future societal and industrial challenges through innovative education. To learn more, visit