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Ref.: 533149 Work type: Full-time Department: Department of Electrical and Electronic Engineering (14300) Categories: Professoriate Staff, Research Staff Applications are invited for appointment as
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Assistant/Research Assistant I in the Department of Medicine, School of Clinical Medicine (Ref.: 533086) We now invite applications for the captioned post. Duties and Responsibilities Perform data analysis
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data and relevant factors as model inputs into modelling frameworks, by targeted literature review and secondary data analysis Perform big data-based epidemiological studies in health services and policy
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track record of publications, (iii) experience in statistical data analysis using R, STATA, SAS or other statistical packages; (iv) excellent written and oral communication skills in both English and
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, (iii) experience in statistical data analysis using R, STATA, SAS or other statistical packages; (iv) excellent written and oral communication skills in both English and Chinese (Cantonese and Mandarin
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advantages. The appointee will be responsible for conducting pre-clinical research and data analysis, co-ordinating and communicating analysis with collaborators, writing manuscripts and scientific
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, STATA, SAS or other statistical packages; demonstrated expertise in the analysis of large and complex datasets; excellent written and oral communication skills in both English and Chinese (Cantonese and
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Discover and characterize novel humoral factors and biomarkers involved in the regulation of metabolic homeostasis Utilize advanced quantitative proteomics platforms such as Olink and Simoa technology to
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benefits and free access to on-campus gyms and libraries. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of
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qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application