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datasets using R and/or STATA, and genetic/molecular epidemiology including Mendelian Randomization) Strong quantitative background Good communication and data visualization skills Ability to acquire new
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written and spoken English and Chinese (Cantonese); good communication skills; advanced knowledge and experience with statistical and data analysis software (e.g., SPSS, R, Stata, Nvivo) and MS Office
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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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immunohistochemistry techniques. Working knowledge of SPSS for data analysis. Knowledge of Python and/or R for analyzing next-generation sequencing (NGS) results will be a distinct advantage. Experience in preparing
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quantitative analyses using various tools, e.g. NVivo, Qualtrics, R, STATA), quality of life research, or economic evaluations will be an advantage. A relevant background in liaising research projects with
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, psychology or a related discipline. They should be familiar with programming languages such as R or Python and have a good command of written and spoken English. Those with expertise in MRI imaging analysis
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. Applicants must have a Ph.D. degree in Bioinformatics/Immunology. Working knowledge of R and/or Python is compulsory. Experience in package development and data analysis for T cell-related projects is
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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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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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on various projects. Requirements A master’s degree, preferably in bioinformatics, data science, software engineering, computer science or a related discipline; Strong programming skills (e.g., Python, R