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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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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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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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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
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Professor (Climate Science) in the School of Energy and Environment [Ref. R/178/25] The School of Energy and Environment was established at City University of Hong Kong (CityUHK) in July 2009 with the mission
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Visiting Fellow in the Department of Public and International Affairs (Appointment for 10 months) [Ref. B/R/1168/09] Duties Contribute to teaching and teaching-related activities at both