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of Statistics and Actuarial Science, School of Computing and Data Science (Ref.: 533742) Applications are invited for appointment as Post-doctoral Fellow in the Department of Statistics and Actuarial Science
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& Post-doctoral Fellow Post-doctoral Fellow in the Department of Statistics and Actuarial Science, School of Computing and Data Science (Ref.: 533742) Applications are invited for appointment as Post
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renewal subject to satisfactory performance). Applicants should possess a PhD in Social Sciences, Social Work, Psychology, Statistics or related disciplines (those with a Master’s degree plus at least 1
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or related disciplines. They should have a strong quantitative background; experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis
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. Knowledge and experience with advanced statistical techniques, database management, solid programming skills, and computational modelling are desirable. The appointees will participate in laboratory
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journals with global impact Proficiency in statistical software packages, including R and SPSS, for large and complex data analysis What We Offer The appointment will commence as soon as possible on a 1-year
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-omic research projects relating to gut microbiota and vascular and brain health Involve in the design, implementation, and testing of statistical and AI software for analysing large healthcare-related
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develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R
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the design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable
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quantitative background; experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis of large and complex datasets; excellent written