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literature reviews to support the research framework; (b) undertake data collection, management, and analysis in alignment with project objectives; (c) coordinate and monitor project activities to ensure
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) be proficient in R and SPSS for data analysis and model estimation; and (d) demonstrate a strong command of written English and programming skills. Applicants are invited to contact Dr Hanyuan Zhang
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project – “Urban smart digital services via LLM-based multi-agent collaboration”. They will be required to: (a) develop multi-agent systems; (b) conduct experimental result analysis, paper and report
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background in quantitative data analysis, mathematical modelling, and experience in methodologic development and implementation; (d) be able to demonstrate a high level of creative ability in research 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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- “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
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: each for twelve months] Duties The appointees will assist the project leader in the research project - “Advancing digital healthcare and medicine with AI: Intelligent analysis and knowledge discovery in
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, and data analysis; (b) assist in communicating and maintaining good connections with the research team; and (c) perform any other duties as assigned by the project leader or his/her delegates
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) The Department of Logistics and Maritime Studies is one of the constituent departments of the Faculty of Business. The Department offers a full range of degree programmes in supply chain and operations management