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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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or health-related disciplines, with multiple years of relevant experience. They should demonstrate strong competency in qualitative and quantitative data analysis and have a good command of written and
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Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data and disseminate it through peer-review journals or other means Draft proposals, reports and
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or social sciences, demonstrated through relevant experience or coursework. Proficiency in statistical software such as Stata, R, or other relevant tools to facilitate data analysis and interpretation
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. The appointee will work on research projects related to health service research and/or global healthy aging promotion, and assist in research grant application, project leadership, data analysis and
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experience in big data analysis, managing large databases of research projects relating to family caregivers of older adults and/or cost effectiveness evaluation, and with related track records of academic
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such as Stata, R, or other relevant tools to facilitate data analysis and interpretation. Experience or interest in conducting research on topics related to child and youth development, family studies
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management and analysis, preparation of research and progress reports as well as high-quality manuscripts, presentation of research findings at local and international conferences, supervision of junior
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-of-life care. Duties and Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative
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medicine. He/she will perform related research analysis, conduct clinical study, write reports and papers, assist in supervising postgraduate students and carry out other duties as assigned. Enquiries about