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written and spoken English and Chinese; and (e) have good computer skills, including Microsoft office (Word, Excel, Powerpoint, Outlook, etc) and Chinese word processing. Applicants are invited
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Department of Computing Research Assistant (Ref. 251211010) [Appointment period: six months initially, with possibility of further appointment] Duties The appointee will assist the project leader in
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School of Hotel and Tourism Management Research Assistant (two posts) (Ref. 251223010) [Appointment period: up to eight months] Duties The appointees will assist the project leader in the research project - “Generative AI and large language models in the hotel industry: Impacts, human-machine...
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Department of Computing Research Assistant (Ref. 251218004) [Appointment period: around three months] Duties The appointee will assist the project leader in the project - “Developing an LLM-based
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required to: (a) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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project - “Enhancing older adults' healthy dining with explainable AI menu recommendations”. Qualifications Applicants should have: (a) a master’s degree in Computer Science or an equivalent
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excellence. Successful applicants should be comfortable in teaching and supervising in a dynamic international environment. Qualifications and Requirements: A Master’s or Ph.D. degree in Computer
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funding availability. Applicants should possess a doctoral degree in Biomedical Sciences, Medical and Health Sciences Education, Computer Science or a related discipline, with a keen understanding of the
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Department of Data Science and Artificial Intelligence Research Fellow (Ref. 251219008) [Appointment period: one month] Duties The appointee will assist the project leader in the research project - “High-fidelity monitoring and prediction of extreme climate events in Hong Kong and surrounding...