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and market competition”. Qualifications Applicants should have a PhD degree in Financial Mathematics or Financial Engineering and basic knowledge in Accounting and Python with at least three years of
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the research project - “Development and clinical investigation of an AI-empowered portable device for assessment of radiation dermatitis in cancer patients”. Qualifications Applicants should have a PhD degree in
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the research project - “Radiotheranostics: emerging integrated imaging and therapies for precision oncology”. Qualifications Applicants should have a PhD degree in Medical Physics, Physics, Biomedical
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the project leader in the research projects - “The job characteristics and well-being of personal care workers in Hong Kong’s residential care homes of the elderly: A mixed-methods study”, “Unraveling the well
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, Biochemistry, Nutrition, Food Science, Biomedical Engineering or a related discipline or an equivalent qualification; and (b) a strong desire to pursue PhD degree in the near future. Preference will be given
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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience
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. Qualifications Applicants should have: (a) a PhD degree in Public Health, Housing Studies, Urban Planning or related disciplines or an equivalent qualification and must have no more than five years of post
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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree
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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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) 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