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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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software Experience in qualitative research methods is an advantage An excellent command of written and spoken English and Chinese (Putonghua and Cantonese) Strong interpersonal, communication
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large and complex datasets. Proficiency in at least one statistical software package (e.g. SPSS, Stata, SAS, R, Mplus) is required. The team is looking for individuals with high calibre to develop studies
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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
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advantageous. They should have a good command of written and spoken Chinese (Cantonese) and English, advanced knowledge and experience with statistical software (e.g., SPSS, R, Stata) and MS Office applications
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datasets. Proficiency in at least one statistical software package (e.g. SPSS, Stata, SAS, R, Mplus) is required. The team is looking for individuals with high calibre to develop studies in the area of early