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a Ph.D. degree in Health Science, Public Health or Geriatric Science, preferably with experience in health service research, advanced data analytics, digital health innovation, and/or big data
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develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including SPSS and R, for large and complex data analysis Proven knowledge
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; familiarity with time series analysis and complex survey design and weighting is preferred. Experience in epidemiological data analysis of large datasets using R and/or STATA is highly preferred, competency in
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populations. Applicants must hold a doctoral degree (Ph.D.) in Nutritional Epidemiology or a related field, with substantial experience in dietary analysis, epidemiologic study design, big data handling, and
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observational data, and have a good command of written and spoken English and Chinese. They should have a strong track record of managing and analyzing large-scale healthcare databases and/or electronic health
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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
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work independently as well as in a team. Experience in large-scale research project management and development, knowledge of statistics and big data analysis would be highly desirable. The appointee will
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Health or other related disciplines with at least 2 years of post-bachelor’s work experience. Previous work experience in big data analysis, managing large databases of research projects relating to family
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Professor position for a large-scale hearing Randomized Controlled Trial (RCT) is responsible for leading the scientific design, oversight, and execution of the study while managing research staff and
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a Ph.D. degree in Health Science, Public Health or Geriatric Science, preferably with experience in digital health innovation, advanced data analytics, and big data management. They should have a