509 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" positions at Hong Kong Polytechnic University in Hong Kong
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/data and conduct research in the fields of modern Chinese cultural history, art history, and popular culture; (b) assist with organising academic talks, workshops and conferences; (c) assist in
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reviews; (b) develop and conduct writing tasks and questionnaires; (c) assist in data coding and basic data analysis; (d) assist in managing the project; (e) assist in preparing progress/final
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) proficiency in programming, including Python and Matlab, data analysis, and standard Microsoft Office Suite; (c) a publication record, preferably in logistics or operational research fields; and (d
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excellent computer literacy, including MS Word, Excel, PowerPoint, multimedia and Chinese word processing; (c) be an excellent team player with excellent interpersonal and communication skills; and (d
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, Management Science and Engineering or a related discipline. Applicants are invited to contact Prof. Wen Xin at telephone number 2766 4977 or via email at windy.wen@polyu.edu.hk for further information
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yanghong2.zhou@polyu.edu.hk for further information. Conditions of Service The remuneration rate is HK$125 per hour. The closing date for application is 2 April 2026. Apply Now Posting date: 20 March 2026
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in project management, data collection, and data analysis; (b) assist in research paper writing; and (c) perform any other duties as assigned by the project leader or his/her delegates
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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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the organisation of meetings, seminars and events in Hong Kong and the Chinese Mainland; (b) provide administrative support, including data collection, record keeping and documentation; (c
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- “The influence of maritime industry activities on residents’ maritime culture awareness in the Greater Bay Area: A large language model (LLM) approach with panel data analysis”. Qualifications Applicants should