170 computer "https:" "https:" "https:" "https:" "I.E" "UCL" positions at THE UNIVERSITY OF HONG KONG
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Deadline 19 Sep 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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obtained at http://facdent.hku.hk/ . For general enquiries, please contact Professor L. Jin, Dean of the Faculty of Dentistry at ljjin@hku.hk . For information about the post, please contact Professor C.H
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Professor (several posts) in AI in Medicine and Digital Health under the LKS Faculty of Medicine (HKUMed) and the School of Computing and Data Science (Ref.: 534726), to commence as soon as possible, on a
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the Department, Hospitals and Faculty. Information about the Department can be obtained at http://www.medic.hku.hk/ . A highly competitive salary commensurate with qualifications and experience will be offered, in
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taught postgraduate levels. Information about the School is available at https://english.hku.hk/ . Please note that the School is not involved in English as a Second Language (ESL) teaching. Enquiries
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Ref.: 534070 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Teaching Staff Teaching Assistant in the School of Computing and Data Science (several posts
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Deadline 6 Apr 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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) - as well as a thriving undergraduate programme. More information about the Department can be found at https://ppa.hku.hk/ . Applicants should hold a Ph.D. degree and demonstrate excellence in research
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scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics
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, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably minimum 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level