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to work on irregular hours including evenings and Saturdays. Qualifications Applicants should have: (a) an honours degree in Nursing, Computer Science, Statistics, Social Sciences or other health-related
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degree or an equivalent qualification; (b) have solid academic background from a top University; (c) have research/engineering experience in federated learning, large foundation models
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Department of Land Surveying and Geo-Informatics Part-time Research Assistant (Ref. 250704005) [Appointment period: six months] Duties The appointee will assist the project leader in the research
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Department of Electrical and Electronic Engineering Part-time Research Assistant (two posts) (Ref. 250624008) [Appointment period: each for thirty months] Duties The appointees will assist
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Department of Computing Senior Research Fellow / Senior Project Fellow (Full-time/Part-time) (several posts) (Ref. 250709006) [Appointment period: each for one to twelve month(s)] Duties
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any other duties as assigned by the project leader or his/her delegates. Qualifications Applicants should have: (a) a Master’s degree or a good honours degree in Computing, Computer Science, Information
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of Artificial Intelligence). General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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Department of Management and Marketing Research Assistant (Ref. 250702001) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project - “Social network and customer engagement with machine learning”. Qualifications Applicants should have: (a)...
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Department of Building Environment and Energy Engineering Postdoctoral Fellow / Research Assistant (one to two posts posts) (Ref. 250624002) [Appointment period: each for six to twenty-four months
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MAFA programme”. He/She will be required to: (a) help conducting the python summer bootcamp and the technology-related tutorials for the four technical subjects designed for MAFA; (b) prepare training