20 data-"https:"-"https:"-"https:"-"https:"-"ASNR" uni jobs at THE UNIVERSITY OF HONG KONG
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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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integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. For more information about the School, please visit http
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programmes. Information about the Faculty can be found at http://www.law.hku.hk/ . For enquiry, please email to dolsen@hku.hk . A highly competitive salary commensurate with qualifications and experience will
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and delivery of teaching in the Faculty’s undergraduate and postgraduate programmes. Information about the Faculty can be found at http://www.law.hku.hk/ . For enquiry, please email to dolsen@hku.hk . A
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http://www.cds.hku.hk . The Positions The positions are open to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT
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disciplines and foster multidisciplinary research collaboration within the University and beyond. For more information about the School, please visit http://www.cds.hku.hk . The Positions The positions are open
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postgraduate programmes in Family Medicine; developing and providing clinical services in primary care; and, contributing to administrative duties in the Department and the Faculty. Information about the post
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apply online and upload an up-to-date C.V., and contact information of 3 referees should be provided in the application form. Review of applications will start as soon as possible and continue until
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upload an up-to-date C.V., and contact information of 2 referees should be provided in the application form. Review of applications will start as soon as possible and continue until September 19, 2026
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, focusing on the commercialization of R&D outcomes, with support from government, industry, and academia. The appointee will be responsible for overseeing the progress of the research project, conducting data