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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- The Chinese University of Hong Kong
- Duke Kunshan University
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- UNIVERSITY OF MACAU
- ; Xi'an Jiaotong - Liverpool University
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, Machine Learning and Artificial Intelligence, Statistics, Management Science, and other closely related areas. Junior applicants must demonstrate a clear and high potential of teaching excellence. Senior
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defined areas of Statistics/Data Science (including Machine Learning, Actuarial Science, Mathematical Finance, Bioinformatics, Artificial Intelligence etc) at the highest level; to establish
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/virtual/mixed reality (VR, AR, XR) Games and Interactive Media Computer graphics and 3D animation Computational design and generative fabrication Art/science research practices Requirement: All candidates
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particle physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds
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Professor, Research Interests: Computational and Applied Mathematics, Machine Learning and Data Science, Email: wukl@sustech.edu.cn 5. Ziming Ma, Associate Professor, Research Interests: Complex Geometry
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, Interdisciplinary Fields 3. Statistics: Machine Learning, Big Data Analysis III. Recruitment positions: Senior Positions (Top and Leading Talents), Junior Positions (Young Talents, Post Doctors) 1.Top Talents
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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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positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Quantum Algorithms, Quantum Machine Learning, Quantum Key Distribution
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researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD Graduation; Strong background in deep learning, machine
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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