176 data "https:" "https:" "https:" "https:" "ETH Zürich" research jobs at Hong Kong Polytechnic University
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@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for applications is 5 May 2026. Apply Now Posting date: 14 January 2026
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degree in Engineering or an equivalent qualification. Applicants are invited to contact Dr Oscar K. C. Chan via email at oscar-kc.chan@polyu.edu.hk for further information. Conditions of Service A highly
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- “Cascaded selective prediction for reliable LLM agents”. He/She will carry out research in the area of machine learning and data science, and also be required to: (a) develop an effective cascading
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2766 7817 or via email at mmhyao@polyu.edu.hk for further information. Conditions of Service The remuneration rate is HK$125 per hour. The closing date for application is 8 April 2026. Apply Now Posting
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psychological research. Applicants are invited to contact Prof. Krishna Savani at telephone number 2766 7129 or via email at krishna.savani@polyu.edu.hk for further information. Conditions of Service A highly
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at telephone number 2766 5665 or via email at kevin.m.yang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application
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. Applicants are invited to contact Prof. Kit-ying Chan at telephone number 3400 8481 or via email at kit-y.chan@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration
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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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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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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