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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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appointment] Duties The appointees will assist the project leader in the research project - “Effects of self-initiated perturbation-based balance training on the postural stability of community-dwelling older
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- “Advancing UAV based low-altitude logistics: a network-based optimization framework for Hong Kong”. Qualifications Applicants should have an honours degree or an equivalent qualification. Preference will be
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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or an equivalent qualification; (b) have experience in conducting research, and skills in AI for processing modelling and optimization; and (c) be proficient in English. Applicants are invited to contact Prof
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- “Performance evaluation of long-span bridges based on multimodal data fusion and learning”. Qualifications Applicants should: (a) have a doctoral degree in relevant fields such as Civil Engineering, Surveying
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evidence-based recommendations; (e) execute digital innovation initiatives to enhance university’s operational efficiency; (f) collaborate closely with the DTD team; and (g) perform any other duties
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the research project - “Feasibility and efficacy of a mixed reality-based cognitive stimulation therapy to enhance nonverbal cognition and language ability of people with mild to moderate dementia: an initial
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- “Fiber route estimation for optical networks in metropolitan areas based on DAS signal analysis”. Qualifications Applicants should have a doctoral degree plus at least three years of postdoctoral research
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sustainability assessment”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience in conducting research, and skills in AI for processing modelling