276 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs in China
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Xi’an Jiaotong University, 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
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Xi’an Jiaotong University, 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
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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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China invites applications for a Professor / Associate Professor in Econometrics with a strong specialization in Machine Learning and Data Science. The appointment is expected to begin in August 2026
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candidate will be expected to teach interdisciplinary courses in our Computation & Design major, including Computational Social Science, Machine Learning for Social Science, Modeling and Predicting, and
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are required to formally apply online https://jobs.nottingham.edu.cn/job/184526/ by 23:59 Beijing Time, 30 April 2026, which should include the following: a cover letter an up-to-date CV a publication list A
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applications will also be given full consideration in case the positions have not been filled by that date. To apply, follow this link: https://apply.interfolio.com/174821 . If you have any questions, please
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, Information extraction, Machine learning, Computer vision, Pattern recognition. ABOUT ADVANCED SEMICONDUCTOR RESEARCH CENTRE The XJTLU Advanced Semiconductor Research Center is jointly established by Xi'an
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teach a diverse range of SUSTech students (undergraduate and postgraduate). SUSTech is a young public university located in Shenzhen, China, near Hong Kong. The main languages of instruction at
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Techniques. Required expertise: Leading urbanism studios blending theory with project-based learning. Knowledge of Sustainable Urbanism (low-carbon design, climate adaptation), Smart Cities (digital twins, AI