299 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs in China
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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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FinTech or related fields, e.g., Computational Mathematics, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research
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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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: Computer Science, Operations Research, Data Science, Machine Learning and Artificial Intelligence, Statistics, Management Science, and other closely related areas. We especially encourage individuals whose interests
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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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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 on the strengths of its
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, China for a period of 5 years starting October 2026. This contract may be extended by mutual agreement. All applicants are required to formally apply online https://jobs.nottingham.edu.cn/job/184526/ by
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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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at time of application. How to Apply Applicants should submit an application via our on-line application system before 23:59 Beijing Time, 30 April 2026 at https://jobs.nottingham.edu.cn/job/184518/ Only
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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