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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- The Chinese University of Hong Kong
- Duke Kunshan University
- Peking University
- ; Xi'an Jiaotong - Liverpool University
- Central China Normal University
- Harbin Engineering University
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- Tianjin Normal University
- Westlake University
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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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, 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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for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks
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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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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
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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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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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focus on 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
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, the continued development of the four new Academies, and exploration of further potential locations to develop the SE model. With a focus on innovative learning and teaching, and research, XJTLU draws