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Bachelor’s degree or above (for Research Assistant I) in psychology, data science, computer science, or a related discipline. The appointee should demonstrate strong quantitative and computational skills, with
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Institute of Marine Science (SWIMS) at the University, providing academic leadership by developing a world-class research programme, mentoring junior staff and students, and contributing to teaching at both
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installations; (c) sound knowledge of and experience in the operation of facilities management industry; and (d) knowledge of basic office computer software including MS Office and preferably with knowledge
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- “Supply chain risk management”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have a strong background in computer science; (c) have experience in
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in Computer Science, Artificial Intelligence, Information Technology, Data Science, or a related discipline; (b) experience in developing and deploying AI-driven solutions, such as chatbots and RAG; (c
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a minimum of three years’ relevant work experience; (b) a good command of both written and spoken English and Chinese, with fluency in Putonghua; (c) good computer literacy; (d) good
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project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have an honours degree or an equivalent
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Office of Institutional Advancement Section Head (Ref. 260327003-IE) Duties The appointee will be required to: (a) formulate and implement fundraising initiatives/programmes to solicit donations
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Department of Industrial and Systems Engineering Postdoctoral Fellow (Full-time/Part-time) (Ref. 260401006) [Appointment period: eight months] Duties The appointee will assist the project leader in the research project - “Next generation of in-situ precision three-dimensional surface metrology:...
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large