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The Department of Statistics and Somerville College are recruiting an Associate Professor of Statistics. The successful candidate will be an outstanding individual who is, or has the potential
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Norwich, UK. Background: The High-Resolution Microbiomics group uniquely focusses on both theoretical and experimental methods for microbial community analysis. Combining statistical bioinformatics with
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. MSc/PhD) in data science, statistics, epidemiology, or a related subject, have significant experience in analysis of large complex epidemiological datasets, using Stata, R or SAS, and have excellent
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Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject, have experience in the analysis of single-cell RNA-seq data (e.g. generated using 10X Genomics
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: Experience of statistical genetics and microbial genomics. Proven track record of publishing papers and peer reviewed journals. Excellent communication skills, ability to interact with a multi-disciplinary
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case bundles, gathering evidence to support decision making, clerking Fitness to Study panels, analysing student data and statistics, and acting as a point of contact to staff, students and parents. You
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internationally. We have methodological expertise in clinical trial design and implementation, clinical decision making and diagnostics, epidemiology, medical statistics, behavioural science, modelling, qualitative
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statistical analysis, data visualisation, and/or cognate subjects. Demonstrable proficiency in related data analysis tools (e.g. SPSS, STATA or similar). Have the ability to communicate clearly and effectively
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reports; analyse statistical and financial data; compile executive briefings. - You will act as an IT service management process expert and you will use your knowledge to develop best practice policies and
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statutory data returns to the Higher Education Statistics Agency (HESA), supported by other team members. The returns are large (HESA Student has c. 3 million rows of XML data), and the quality of the data