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or related disciplines. They should have i) a strong quantitative background; ii) experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; iii) demonstrated expertise in
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a Ph.D. degree in Health Science, Sport Science, Psychology, Public Health or Gerontology preferably with experience in coordinating research projects, data management, and research dissemination
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for the above post. Applicants should apply online and upload an up-to-date C.V., with the contact information of at least 3 referees. Review of applications will start on June 5, 2025 and continue until June 20
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the functional title of Senior Data Analyst)/Research Assistant I/II in Cardiovascular and Genetic Epidemiology of the Department of Medicine, School of Clinical Medicine (Ref.: 532028) We now invite applications
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functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical learning and language processing, perform EEG data analyses, and neural computation and
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. degree in Biomedical Sciences, Epidemiology, Biostatistics or related disciplines, preferably with at least 1 year of post-qualification experience Experience in clinical research, epidemiological data
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contact Professor Pengtao Liu at pliu88@hku.hk . Information about the School of Biomedical Sciences can be found at http://www.sbms.hku.hk/ . A highly competitive salary commensurate with qualifications
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schools in Hong Kong. Duties and Responsibilities conduct surveys and focus group interviews, and analyze data collected handle the administrative work and logistics, including liaising with project schools
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organizational and communication skills, with attention to details. Ability to work independently and collaboratively in a team environment. Prior research experience is an advantage. For more information about
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. Duties and Responsibilities Coordinate research activities for Cardiology division Conduct clinical trials Collect medical data, contact patients and handle clinical specimen Provide support to clinical