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-qualification experience at the time of application; (b) advanced knowledge of statistical analysis (Stata, R and Machine Learning); (c) sufficient experience in managing questionnaire surveys and
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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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or related social sciences disciplines, especially good command of Python and R language for various social sciences/humanities applications. The ideal candidate will be able to assist in multiple courses
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, R or STATA; (c) have good communication skills; and (d) be self-motivated, responsible and independent. Preference will be given to those with background in working or research in long-term care
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algorithms. 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
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a bachelor of pharmacy degree and a Ph.D. degree in pharmacy will be preferred. They should have a strong quantitative and qualitative background; experience in analysing epidemiological data using R
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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