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About the Role We are looking for a motivated and collegial Postdoctoral Research Associate (PDRA) in Genomic Data Science to join the expanding Statistical Genomics team of Dr Valentina Cipriani
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researchers in the preparation and analysis of data. The Research Associate will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science
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dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). DERI offers an outstanding research environment including a dedicated physical
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monitoring, reporting and verification; and development of data and analysis products for clients. All of these elements will involve client and sector engagement. About You You will have a PhD in the relevant
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the statistical analysis of data. They will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science, epidemiology, risk prediction, AI and clinical
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to compare simulations to data. They will be expected to work in teams applying these membranes to a diverse ranges of applications including pharmaceutical solvent recovery, and dehydration of pharmaceutical
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to the objectives and development of a research programme funded
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should have experience analysing data in large developmental cohort studies, experience conducting meta-analysis, experience with using structural equation modelling and working with statistical software
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that can translate (genomic) data into clinically actionable insights. We are an ambitious, curious and enthusiastic international team, that promotes scientific excellence in the context of happy family and