364 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions in China
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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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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
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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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funding for conferences, and access to state-of-the-art facilities. Application Materials Required: Further Info: https://quantumcomputing.fudan.edu.cn/ Physics Building, 2005 Songhu Road, Yangpu District
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research group of Prof. Quoc Ho (https://quocho.com/ ), whose current research interests lie in the intersection of geometric representation theory, categorification, knot invariants/topological quantum
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should submit the following materials online through AMS MathJobs at https://www.mathjobs.org : an AMS cover sheet, cover letter, curriculum vitae, statement of research and teaching, and three letters
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, PDEs, Dynamic Systems, Mathematical Biology, Computational Mathematics, and Data Sciences, etc. For more information about the College, please visit https://mathen.hrbeu.edu.cn/ . Application Materials
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there is any problem with the online application system, please contact am_hr@fudan.edu.cn . For more information about the center, please visit https://am.fudan.edu.cn/ . Qualifications: 1. Candidates must
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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