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and Chinese, with fluency in Cantonese; (c) be proficient in using statistical software such as Mplus, R or SPSS; (d) have strong interpersonal and organisational skills; (e) have the ability
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English and Chinese; (c) have statistical knowledge and ability in using statistical software, such as Mplus, SPSS and R; (d) be passionate in research, especially in the field of mental illness
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using one of the software including STATA, Python, R, or Matlab; and (c) completion of undergraduate or post-graduate level courses in Statistics and/or Optimization with good grades. Preference will
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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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and Chinese; (c) have good knowledge of using statistical software such as SPSS, Mplus, AMOS and/or R; (d) be highly motivated, result-oriented and able to work under pressure; (e) be dynamic
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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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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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experience in creating, collection, and analysing survey, experimental, and interview data; (d) proficiency in using statistical software (e.g., SPSS, SmartPLS, AMOS, R, SAS, etc.); (e) demonstrated