363 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in China
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/EXPERIENCE: Numerical machine leaning/Scientific Machine Learning are highly expected Preferred research directions: Numerical Optimization and Scientific Machine Learning. A PhD in Mathematics or Applied
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on master’s degree diploma/Ph.D. diploma and position start date. DKU is a collaborative partnership of Duke University, Wuhan University and the Municipality of Kunshan, China (https://dukekunshan.edu.cn
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to intercultural dialogue enhances our own learning community and contributes to the global discourse on science and its transformative power to reshape our world. For more information, please visit https
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teaching/industrial experience. The successful applicants should be able to design and teach courses in International Business Management and teach a broader area of fundamentals of digital business
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will be offered instead. How to Apply Applicants are invited to submit their applications via the application link below on or before 22 March 2026. https://jobs.nottingham.edu.cn/job/184498
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at CCNU, please refer to the following university’s link: https://hr.ccnu.edu.cn/info/1029/11386.htm ; How to Apply: This job posting invitation is open-ended and remains valid indefinitely. Should you be
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generous grants. The review of applications will begin immediately and continue until the positions are filled. Further Information: Research groups: http://www.bimsa.cn/research_groups Application Materials
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Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic theory and econometric analysis. We are particularly interested in
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Vision, Machine Learning and Aritificial Intelligence, and Human-Centered Computing. RESPONSIBILITIES Applicants will have an adequate level of teaching experience, have published high-quality papers in
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project management. Areas of expertise in Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition