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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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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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analysis of large datasets using R and/or STATA Strong Biomedical Science and quantitative background Demonstrated abstract concepts in an accessible way to all organizational levels Good communication and
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of adipose tissues and to identify secretory factors involved in conversion of white adipocytes to brown adipocytes Details of the R&D activities can be found at www.sklpb.hku.hk and www.antibody.hku.hk
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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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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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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