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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- ; Xi'an Jiaotong - Liverpool University
- Duke Kunshan University
- Harbin Engineering University
- UNIVERSITY OF MACAU
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
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- The Hong Kong University of Science and Technology (Guangzhou)
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Field
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Technologies; Sustainable Exploitation & Utilization of Resources; Cycling and Extraction of Key Elements; Carbon Capture, Utilization, and Storage; Machine Learning for Energy Materials; Advanced Manufacture
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internationally. Responsibilities and Duties We are looking for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural
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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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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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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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, 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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Learning are highly expected Preferred research directons: Numerical Optmizaton and Scientfc Machine Learning. A PhD in Mathematcs or Applied Mathematcs. Two years of full tme postdoctoral experience with
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should have a PhD degree in related fields by the time of employment. Artist candidates should also have a portfolio demonstrating sustained creative practice. The appointee is expected to (i) teach
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maintain an active agenda of creative practice and scholarship. The successful candidate will be able to teach in areas such as interface design, digital imaging, computer graphics, machine reading, data