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AI and computational approaches to study the genetics of chicken phenotypes. Using various forms of omics and imaging data they will train machine learning models to predict important phenotypes and
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using standard software (e.g. Stata, R) and experience of analysing large longitudinal datasets. Experience analysing administrative data from health, education or children’s social care would be
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experience in quantitative social sciences You will have an understanding and knowledge of Survey Methodology and experience of undertaking advanced quantitative analysis using large scale complex survey data
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NIHR Nottingham Biomedical Research Centre (BRC). You will join a vibrant and friendly team, working with colleagues across the university from a wide range of disciplines. You will work with large
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Intelligence (AI4CI https://ai4ci.ac.uk/ ). AI4CI is a large consortium of leading UK universities and industry partners that will develop new AI for smart collectives, with case studies in environment, urban
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for an ambitious PhD graduate or post-doctoral data scientist with the ability and confidence to lead the development and implementation of multi-omics frameworks and the ambition to identify potential translational
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from genetic (including ancient DNA), environmental and archaeological data to better understand our demographic, biological and cultural evolution. About the role This position is funded by a recent EU
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carrying out statistical analysis. Please visit Work at UCL for further information. About you The candidate must have a PhD or equivalent working experience in epidemiology, global health, statistics
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-world problems. This is combined with qualitative research to provide a deeper understanding and application of big data findings. About the role The Data Science Research Group at the Primary Care
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access to data in compliance with appropriate regulations, data centre protocols and the Data Management Plan Essential criteria Completed, or near-completion, PhD in a relevant discipline (or extensive