80 web-development-"https:" "https:" "https:" research jobs at Hong Kong Polytechnic University
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(CLRs) for participant recruitment and field activities; (d) design and facilitate co-creation workshops with residents, district councillors and property owners to develop community spatial strategies
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both front-end and back-end development (such as Java); (d) have R&D experience with Large Language Models (LLMs); and (e) be familiar with AI agents. Applicants are invited to contact Prof
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timely progress and adherence to milestones; (d) prepare research reports, documentation and presentations for internal and external dissemination; (e) contribute to the formulation of innovative
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– “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S. H. I. E. L. D.)”. He/She will be required to: (a) develop machine learning models to predict optimal
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in alignment with project objectives; (c) coordinate and monitor project activities to ensure timely progress and adherence to milestones; (d) prepare research reports, documentation and
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eighteen months] Duties The appointees will assist the project leader in the research project - “Developing a “drop-in” sustainable aviation fuel with blending ratio above 50% based on localized feedstocks
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project - “Development of all-solid-state lithium batteries based on binder fibrillation dry-film technology”. Qualifications Applicants should have an honours degree or an equivalent qualification in
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; (b) conduct data processing and analysis; (c) prepare and design handbooks, PowerPoints/Canva slides and edit videos; (d) organise workshops and seminars; and (e) perform any other duties
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project - “Development of human-centric driver support systems and training recommendations for safer cross-border driving during Northbound Travel for Hong Kong Vehicles”. Qualifications Applicants should
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assist the project leader in the research project – “Smart Holistic Insurance Enhancement using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning