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Field
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large data set? We are offering a unique opportunity to drive the development, capture and iterative improvement of both a large data set model, and the techniques to generate informative report-based
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for an opportunity to create significant impact and influence across a new large data set? We are offering a unique opportunity to drive the development, capture and iterative improvement of both a large data set
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Full-time: 35 hours per week Fixed term: until 31/08/2029 The Opportunity: A Postdoctoral Researcher Position in Data Science/Molecular Epidemiology is available within the Marioni Group
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clinical data retrieved from the electronic health records (EHR) system. There is an emphasis on data entry, parsing, curation, transfer, and research governance. The focus is the creation of a large
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in epidemiology, statistics, demography, geography or other relevant quantitative science, with experience of analysing large, complex longitudinal data for environmental health research. Customer
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methods and data analysis skills are desirable, the aim is to enable high-impact research through the creation of a large, structured, and well-curated dataset with a focus on high-quality allied clinical
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statistical methods, data analysis and regression modelling. You will have experience using large complex datasets, data linkage, data cleaning, and the capacity to write high quality journal articles and
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clustering—across large registry datasets, generating outputs that inform cancer policy and health service planning. The Fellow will lead specific projects, contribute to north–south data harmonisation
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-photon calcium imaging and virtual reality in awake behaving mice. Analyse in vivo large-scale two-photon calcium imaging data sets combined with behavioural data (pupil diameter, speed, motor movements
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Agency. The project aims to use energy and air quality modelling, indoor environmental quality data, large health data sets, and co-creation and engagement with schools and other stakeholders to provide