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exome/genome sequence data in both clinical genetic studies and/or large-scale population studies, such as the UK Biobank Study. Applicants must have a PhD in genetic epidemiology, statistical genetics
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This PhD is a collaboration between the University of Salford and DEFRA (The Department for Environment, Food and Rural Affairs) to forge a less noisy and better sounding future. Noise is the second
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for all aspects of statistical input into IHTM research projects, including study design, data handling, statistical analysis, interpretation of result. It is essential that you hold a relevant PhD/DPhil in
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are enthusiastic about investigating and engineering real-world solutions to pressing data-centric problems and to do so in a way that pulls on rigorous Bayesian statistics and scalable computational resources
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are enthusiastic about investigating and engineering real-world solutions to pressing data-centric problems and to do so in a way that pulls on rigorous Bayesian statistics and scalable computational resources
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collaborations across the University, and supervise research students. The successful applicant will also have the opportunity to conduct a small amount of teaching at the Department of Statistics in their areas
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, providing a balanced work environment. We’re looking for an individual that has a PhD in a statistical subject with several years of experience as a postdoctoral researcher (equivalently, for candidates
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PhD in mathematics, physics, bioinformatics or statistics, or a related subject area with strong element of mathematical modelling. They will also have a First-class degree in any area of science
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primary analysis to apply bioinformatics solutions to biomedical problems. You will be responsible for carrying out data processing and integration, statistical analysis, presentation and interpretation
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statistics • Collaborate with colleagues from other disciplines within the university • Develop grant-funded research projects • Supervise MSc students, PhD students and postdoctoral researchers