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Department of Electrical and Electronic Engineering Project Assistant (Ref. 250516007) [Appointment period: three months] Duties The appointee will assist the project leader in the research project - “Physical layer signal processing and control strategies for dynamic multi-band optical...
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Department of Computing Part-time Research Associate (Ref. 250513001) [Appointment period: one month] Duties The appointee will assist the project leader in the research project – “Towards IoT
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Department of Industrial and Systems Engineering Project Associate (Ref. 250508007) [Appointment period: five months] Duties The appointee will assist the project leader in the research project - “Text-guided generative AI for eco-innovative design”. Qualifications Applicants should have a...
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for MScCT+ and MLS, and (iii) contribute to other administrative duties as required by the supervisors. General Requirements Candidates should have (i) a doctoral degree in engineering, data science, computer
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, computer science, business, information systems, artificial intelligence, or other relevant areas; (ii) ideally a minimum of 3 years’ experience in teaching relevant courses and relevant programme
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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methods; (c) assist in curriculum design and development; (d) engage in scholarly activities in their areas of expertise; and (e) perform any other duties as assigned by the Director / Interim Director of
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those who specialise in data-based research on Chinese population demography and social history. Candidates should demonstrate expertise in quantitative research methods, with strong publication record in
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quantitative research methods, with strong publication record in reputable academic journals and/or with leading publishers. A proven track record of commitment to excellence in teaching and research is
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a cross-disciplinary School of Computing and Data Science, the University is committed to fostering interdisciplinary exchange with an outlook for transformative breakthroughs, innovations and global