202 data "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Hong Kong Polytechnic University
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information. Conditions of Service For full-time appointment(s), a highly competitive remuneration package will be offered. For part-time appointment(s), the remuneration rates for the post of Research Fellow
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or via email at yuen.tsang@polyu.edu.hk for further information. Conditions of Service For full-time appointment(s), a highly competitive remuneration package will be offered. For part-time appointment(s
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yuen.tsang@polyu.edu.hk for further information. Conditions of Service For full-time appointment(s), a highly competitive remuneration package will be offered. For part-time appointment(s), the remuneration
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research areas are: • AI applications in education • AI and big data learning analytics • Generative AI for teaching and assessment innovation • Digital education technology platforms • Data
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of and working experience in BLE system design, AI data analysis and mechanical system design; and (c) good command of written and spoken English for conducting literatures review, data reporting and
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and performance assessments; (b) assist in data collection, analysis and preparation of research reports; (c) support daily laboratory operations related to the project; and (d) perform any
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-jw.xie@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 25 March 2026. Apply Now Posting date: 25
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. Ng at telephone number 3400 8232 or via email at kam.kh.ng@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date
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application. Applicants are invited to contact Prof. Flora Gu at telephone number 2766 4017 or via email at flora.gu@polyu.edu.hk for further information. Conditions of Service A highly competitive
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Research Assistant [Appointment period: twelve months] Duties The appointees will assist the project leader in the research project - “Rethinking road safety risk evaluation by leveraging big mobility data