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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with
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techniques Proficiency in statistical software (e.g., SPSS, R, or similar) Strong communication, teamwork, and flexibility. As one of the largest employers in Oxford we pride ourselves in the great experience
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of University Professor Sarah R Davies, which focuses on Technosciences, Materiality, and Digital Cultures and which studies the digital as material practice in contexts in which technoscience is created
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive
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(e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting
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Coding skills and experience in one or more open-source languages (e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience
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statistical software (e.g., SPSS, R, or similar) • Strong communication, teamwork, and flexibility Benefits As one of the largest employers in Oxford we pride ourselves in the great experience we offer
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cleaning Inferential statistical techniques Proficiency in statistical software (e.g., SPSS, R, or similar) Strong communication, teamwork, and flexibility Benefits As one of the largest employers in Oxford