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other stakeholders. A good network within Hong Kong’s public/ private healthcare sectors and/or NGOs, with potential teaching partners for the Medical Humanities programme, will be considered a strong
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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 also
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Department of Health Technology and Informatics Part-time Postdoctoral Fellow (Ref. 251114002) [Appointment period: thirteen months] Duties The appointee will assist the project leader in
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Department of Industrial and Systems Engineering Principal Project Fellow (Ref. 251114015) [Appointment period: six months] Duties The appointee will assist the project leader in the research project - “Development of an intelligent process system for ring forging manufacturing based on AI deep...
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. Qualifications a) Education: Ph.D. in Automation, Industrial Engineering, Systems Engineering, Computer Science, or a closely related field. b) Technical Skills: Strong programming proficiency is required. c
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curriculum and programme development at postgraduate levels, as well as networking and outreach in the Chinese Mainland, Hong Kong and beyond. A highly competitive salary commensurate with qualifications and
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Department of Computing Research Assistant / Part-time Research Assistant (Ref. 251024004) (1) Research Assistant [Appointment period: three to six months] (2) Part-time Research Assistant
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are seeking a dynamic and accomplished professional with a robust background in arbitration and dispute resolution to join our team as a lecturer and programme director for the LLM in Arbitration & Dispute
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School of Fashion and Textiles Project Assistant (Ref. 251021003) [Appointment period: four months] Duties The appointee will assist the project leader in the project - “East meets west in fashion 4.0: Developing AI literacy and digital entrepreneurial skills in SFT students through...
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The appointees will assist the project leader in the project - “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning