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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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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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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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research experience. Proven track-record analysing large-scale ‘omics and/or healthcare datasets, preferably in cancer genomics. Experience of advanced coding in Python or R plus Shell scripting; familiarity
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analysis skills (STATA or R) with high attention to detail Excellent written and communication skills for publications and policy engagement Ability to work independently and collaboratively across
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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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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
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labour markets, family economics and/or development; Good knowledge of applied econometrics; Experience working with large micro data; Experience using statistical software Stata or R, at advanced level is
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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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of R or Python), along with writing, presentation and communication abilities. Prior experience working with computing clusters or remote servers is desirable. The fund would be available from 1st