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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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computational background and significant (>5 years) experience of using bioinformatics and statistical approaches to analyse and interpret whole transcriptome data generated from RNA sequencing and integrate
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peer reviewed academic publications of the highest standards of significance and impact Supervise less experienced researchers and PhD students Develop skills and networks to become a successful
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reports, as well as some limited administrative duties and supervision of more junior researchers and students. The project would suit candidates with a PhD in neuroimaging, medical imaging, biomedical
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flexibility in research topics within this main theme. Essential requirements for the candidate include: (1) holding (or about to hold) a PhD/DPhil in Physics or Chemistry, or a closely related field, with a
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strongly quantitative discipline, but applications from candidates close to submitting their PhD are also welcome. Research experience in Bayesian statistics is essential as is experience in statistical
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candidate will have a PhD in a strongly quantitative discipline, but applications from candidates close to submitting their PhD are also welcome. Familiarity with deep learning methodologies is essential, as
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Statistics (DPMMS) as Business and Operations Manager. About us DPMMS (with the Statistical Laboratory as a sub-Department) is one of two closely-linked Departments within the Faculty of Mathematics based
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participants, administering standardised cognitive and clinical scales, accompanying participants for brain scans and associated tests and maintaining study databases and assisting with statistical analysis
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a diverse team and able to perform effectively under multiple demands. Applicants should be educated to PhD level in a relevant discipline, have experience of working with R, multilevel modelling, and