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projects focused on artificial intelligence, bioinformatics, precision dentistry/medicine and drug discovery; Develop and maintain software tools, database and web applications; Conduct literature reviews
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of academic publication is 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
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in project management, ethics applications, and supervision of junior researchers. Requirements: A PhD degree in Social Sciences. Strong analytical skills and proficiency in statistical software and
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learning in imaging analysis, clinical trials, epidemiology, genetic study, big data analysis, R language or related statistic software, or/and Python software, or programming skills of deep learning tools
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, bioinformatics, precision dentistry/medicine and drug discovery; Develop and maintain software tools, database and web applications; Conduct literature reviews and summarize findings related to AI and large
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analysis, R language or related statistic software, or/and Python software, or programming skills of deep learning tools; (iv) proven track records and ability to work independently and within a team; (v
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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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. 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