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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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. 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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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
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or related disciplines. They should have i) a strong quantitative background; ii) experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; iii) demonstrated expertise in
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Chinese (Cantonese) and English, advanced knowledge and experience with statistical software (e.g., SPSS, R, Stata) and MS Office applications (including Word, Excel, PowerPoint etc.), and strong team work
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software package (e.g. SPSS, Stata, SAS, R, Mplus) is required. The appointee will join an internationally active team of researchers in developing studies in the area of digital phenotyping in early
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groups/minorities would be an added strength. Preference will be given to applicants with knowledge of analyzing quantitative research data using advanced statistical tools (e.g., MPlus, R). Applicants