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Faculty of Life Sciences and Medicine Hub for Applied Bioinformatics). We are looking for an ambitious candidate with established expertise in bioinformatics, specifically dealing with large data sets and
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Specification PhD (or near to completion) in high energy particle physics Experience with operation and use of Roman pot-based near-beam spectrometers Experience with analysis of data from Roman pot-based near
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Research Fellow in Intervention Development to join the Big Data in Health Grou About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre. We
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Sussex University in collaboration with ASG and other partners. You will hold a PhD in a related discipline, such as business, management, economics, or engineering. This is a demanding project and you
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be invaluable in efforts to conserve biodiversity and improve food security as the climate heats up globally. You should have a PhD (or close to completion) in evolutionary ecology, evo-devo, cell and
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent or longitudinal data analyses is essential Experience of undertaking
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range of studies and the methodologies to be used. The post will offer opportunities to apply a variety of data sciences approaches and work with a wide range of large health/clinical/biological datasets
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-immune and fibrotic disease. Towards this goal, we integrate big (‘Omics’) data with mechanistic molecular knowledge into statistical and machine learning methods, and we share our tools as free open
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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly