316 engineering-computation "https:" "https:" "https:" "https:" "UCL" research jobs in Hong Kong
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should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until March 31, 2026 or until
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leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for
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to Apply The University only accepts online application 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. Review of
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Department of Computing Research Assistant (several posts) (Ref. 260330014) [Appointment period: each for eighteen months] Duties The appointees will assist the project leader in the research
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Assistant post should have an honours degree or an equivalent qualification with experience in computer science, information technology, engineering, media technology or related disciplines. Applicants should
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apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until January 31, 2026, or until
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programme that includes an in-school/after-school instrumental ensemble-based music training for primary school students. Research Assistant (25260305) Responsibilities: Conduct research-related tasks as
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, the appointee will help co-supervise MPhil and PhD students, establish a cutting-edge research programme in computational chemistry and machine learning, and engage in various scholarly activities, including
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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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foundation model system”. He/she will act as AI Engineers and also be required to: (a) collaborate on prompt engineering, post-training, API integration, and performance optimisation; (b) utilise the in-house