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biology, cell culture, animal experiments and/or OMICS analysis. Preference will be given to those with demonstrated experience in investigating obesity, diabetes and adipose tissue biology. Applicants
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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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Transport Studies (Ref. 250819009) The Department of Logistics and Maritime Studies is one of the constituent departments of the Faculty of Business. The Department offers a full range of degree programmes
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Transport Studies (Ref. 250819008) The Department of Logistics and Maritime Studies is one of the constituent departments of the Faculty of Business. The Department offers a full range of degree programmes
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Studies (Ref. 250819007) The Department of Logistics and Maritime Studies is one of the constituent departments of the Faculty of Business. The Department offers a full range of degree programmes in supply
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spoken English and Chinese; outstanding communication skills; and the ability to multitask and work independently as well as in a team. Experience in healthcare data analysis and related track records
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infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical analysis, and proficiency in statistical and computer modelling software (e.g. R
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record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
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carbide · Design experiments and studies for bipolar degradation of SiC devices · coordinate data collection and analysis · support the organization of dissemination events · assist in the preparation
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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