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. Strong analytical skills and proficiency in statistical software (e.g., STATA) and qualitative tools (e.g., NVivo). Track record of scholarly output (publications in Q1/Q2 journals preferred). Experience
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Senior Research Assistant (SRA) in the Sau Po Centre on Ageing within the Faculty of Social Sciences
) and English, advanced knowledge and experience with statistical software (e.g., SPSS, R, Stata) and MS Office applications (including Word, Excel, PowerPoint etc.), and good interpersonal and
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. Requirements A Ph.D. degree in the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies Proficiency in data analysis using statistical or computer modelling software, such as
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, Epidemiologist, Data Scientist, Software Engineers, Health Economists, and other clinical staff and healthcare stakeholders, in the field of Family Medicine and Primary Care. The appointee will work on various
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software packages, including SPSS and R, for large and complex data analysis proven knowledge and experience in undertaking research related to EoLC is advantageous relevant post-doctoral work experience and
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and epidemiological studies Proficiency in data analysis using statistical or computer modelling software, such as Stata or R Excellent command of written and spoken English A demonstrated record of
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-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 and experience in