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analytics; and (b) be proficient in python, R and other statistical packages. Applicants are invited to contact Dr Pamsy Hui at telephone number 2766 7394 or via email at pamsy.hui@polyu.edu.hk
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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one of the following programming languages: R, Perl, Python, C/C++, JAVA, etc. Experience in cancer research and/or molecular biology will be an advantage. Preference will be given to those with
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. Strong programming skills in Python and/or R. Experience in analyzing both quantitative and qualitative research data. Experience in statistical consulting, dashboard development, and data visualization
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. STATA, SPSS, and R). They should also have an excellent command of written and spoken English and Chinese (including Cantonese); a strong sense of responsibility; excellent organizational and
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, including extracting and analysing large electronic health records from the Hospital Authority using R, STATA, or SAS, and conducting costing/cost-effectiveness analyses. Applicants must have hands
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biomedical sciences, bioinformatics, clinical research or related field strong clinical trial experience (design, execution, and regulatory submissions) proficiency in bioinformatics, statistical analysis (R
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oncology-specific NLP models with peer-reviewed publications is preferred. Strong quantitative skills are mandatory, including analysing large-scale databases (e.g., Hospital Authority EHR) using R/STATA/SAS
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and psychometric instruments is mandatory. Preference will be given to applicants with knowledge of analyzing quantitative research data using advanced statistical tools (e.g., MPlus, R). Applicants