32 data-"https:"-"https:"-"https:" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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. Information about the Department can be obtained at https://ece.hku.hk/ . Applicants should possess a Ph.D. degree in Electrical Engineering, Computer Engineering, or a related discipline, with a strong
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of Hong Kong has a highly ranked engineering school and active electrical and electronic engineering programmes. Information about the Department can be obtained at https://ece.hku.hk/ . Applicants should
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Ref.: 537500 Work type: Fractional / Part-time Department: HKU Musketeers Foundation Institute of Data Science (47000) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Part
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Research Assistant/Research Assistant I/II (holding the functional title of Senior Data Analyst/Data Analyst) (several posts) in the Department of Emergency Medicine, School of Clinical Medicine (Ref
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Epidemiology or a related field, with substantial experience in dietary analysis, epidemiologic study design, big data handling, and dietary pattern deduction. They must demonstrate proven expertise in
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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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EoLC Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data and disseminate it through peer-review journals, press conference or other means Draft
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fluency in Cantonese), and demonstrate strong skills in statistical analysis, data management, and project coordination. Applicants should also exhibit the ability to work independently and collaboratively
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performance) Applicants should possess a Bachelor’s degree or above. The appointee is expected to conduct research in the clinical area of emergency departments. Knowledge of literature review, data extraction
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working closely with multidisciplinary scholars and a research team focusing on healthy ageing and non-pharmacological intervention, and will be responsible for data management and analysis, preparation