250 computer "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Hong Kong
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Department of Electrical and Electronic Engineering Postdoctoral Fellow (Ref. 260330013) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project - “Automated monitoring traffic data system for detector status and non-recurrent...
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Department of Computing Postdoctoral Fellow / Research Assistant (Ref. 260330016) (1) Postdoctoral Fellow (two posts) [Appointment period: each for eight months] (2) Research Assistant (two
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Department of Computing Research Assistant (Ref. 260114018) [Appointment period: six to twelve months] Duties The appointee will assist the project leader in the research project - “KCube learning
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or equivalent qualifications in Computer Science, Data Science, or related fields; (b) be proficient in Coze, Dify, LangGraph, and other Agent construction frameworks, and be able to implement complex task
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Bachelor’s degree or above in Psychology, Social Sciences, Public Health, Nursing, Medicine, Computer Science, Information Technology, Health Informatics, Education or other related disciplines; with at least
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Work, Computer Science or other related disciplines; (b) have a good command of both written and spoken English and Chinese, with fluency in Cantonese; (c) be proficient in using statistical
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines design and development of computer programmes for numerical computation of electromagnetic
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have: (a) an honours degree in Nursing, Computer Science, Statistics, Social Sciences or other health-related disciplines or an equivalent qualification; (b) experience in coordinating community
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines. Experience in cancer research and/or
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agents across various tasks; and (c) benchmark the performance of the proposed approach on several representative tasks in computational pathology by comparing a selective and adaptive mixture