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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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statistical 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
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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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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
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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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sufficient specialist knowledge in transcriptomics and NGS sequencing as well as the essential computational skills (R, Unix or Python) to develop research programmes in this area, and familiarity with
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. The Astronomy Unit includes a lively exoplanet/planet formation community, including the groups of Dr. T. Haworth, Dr. E. Gillen and Prof. R. Nelson. About Queen Mary At Queen Mary University of London, we