162 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs in Hong Kong
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Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit the website at https://www.polyu.edu.hk/dsai/ for more information about DSAI. Duties The appointee will be required to: (a
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Center for Fundamental Physics (IAS CFP) (https://cfp.ust.hk ) of The Hong Kong University of Science and Technology (HKUST) invites applications for postdoctoral positions in the areas of theoretical
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contract. Information and Application Further information on the post and the University is available at https://www.cityu.edu.hk , or from the Human Resources Office, City University of Hong Kong, Tat Chee
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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with each other and other members of the Faculty. Fellows will be expected to teach two courses during the term of their appointment and are required to submit a brief annual summary of their activities
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microphotonics/microelectronics and quantum technology. Candidates will be responsible for both research and teaching. They are expected to teach courses at the undergraduate and postgraduate levels, specifically
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Professor (25260446) Responsibilities: The Department is recruiting one scholar at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics
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-quality research as indicated by publications and external grants; and (iv) a strong commitment to engage students in inquiry-based learning at postgraduate level. Relevant work experience in infectious
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(25260475) Responsibilities: The Department is recruiting a scholar at the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related
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willing to work in a collaborative environment. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high