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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- The Chinese University of Hong Kong
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Field
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, Machine Learning and Artificial Intelligence, Statistics, Management Science, and other closely related areas. We especially encourage individuals whose interests and backgrounds are at the intersection
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investigator, spearheading funding bids and developing innovative methodologies that blend industrial design with advanced technologies. He/she will apply expertise in areas such as machine learning/programming
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backgrounds with strong research potential and a commitment to teaching. Preference will be given to candidates in the following areas: 1.Pure and Applied Mathematics 2.Machine Learning, and Artificial
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, Machine Learning and Artificial Intelligence, Statistics, Management Science, and other closely related areas. Junior applicants must demonstrate a clear and high potential of teaching excellence. Senior
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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 partners
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established scholar with a doctoral degree (or close to completion) in Statistics, Business Analytics, Econometrics, Machine Learning or a closely related field; (2) have the ability to teach any undergraduate
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science, artificial intelligence, computer vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in
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, Machine Learning, Thesis, etc. (taught in English). Qualifications: Applicants must possess a Master Degree in a field related to Artificial Intelligence or Drug Discovery. Closing Date for Application : 14
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Peking University, Center for Machine Learning Research (CMLR) Position ID: 2952 -FACULTY [#24742] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Beijing, Beijing
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primary medium of instruction at UM. The Department of Electrical and Computer Engineering (ECE) in the Faculty of Science and Technology invites applications for multiple positions (Full/Associate