191 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at THE UNIVERSITY OF HONG KONG
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benefits. The University only accepts online application for the above post at the University’s Careers site (https://jobs.hku.hk ). Applicants should apply online and upload an up-to-date C.V., job market
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for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V, quoting the job reference number, with information on current/expected
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Ref.: 533655 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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of the transformative possibilities of information and technology in a 21st century educational institution as well as a strong respect for the traditional roles of the library and academic computing; A track record of
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at tertiary or professional level. Applicants should have knowledge of the latest technology development in journalism education. The appointee will be responsible for teaching undergraduate and postgraduate
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doctoral or master’s degree in Education, the Learning Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in
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the world. Home to ten disciplinary Faculties (Architecture, Arts, Business and Economics, Dentistry, Education, Engineering, Law, Medicine, Science, and Social Sciences), the University is committed
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Engineering, Health Science, or a related discipline, with proven experience in clinical research and research project management. They should have (i) a strong record of high-quality research as indicated by
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
studies using animal models (e.g., transgenic mice) to evaluate disease progression and therapeutic efficacy. Utilize induced pluripotent stem cell (iPSC) technology to create disease-in-a-dish models for
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disciplinary Faculties (Architecture, Arts, Business and Economics, Dentistry, Education, Engineering, Law, Medicine, Science, and Social Sciences), the University is committed to fostering interdisciplinary