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closely related field focusing on artificial intelligence applications; (b) advanced proficiency in programming with Python, MATLAB or R; and (c) experience in developing algorithms for remote sensing
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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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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
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of academic publication is advantageous. They should have a good command of written and spoken Chinese (Cantonese) and English, advanced knowledge and experience with statistical software (e.g., SPSS, R, Stata
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immunohistochemistry techniques. Working knowledge of SPSS for data analysis. Knowledge of Python and/or R for analyzing next-generation sequencing (NGS) results will be a distinct advantage. Experience in preparing
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quantitative analyses using various tools, e.g. NVivo, Qualtrics, R, STATA), quality of life research, or economic evaluations will be an advantage. A relevant background in liaising research projects with