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Uncertainty”. The PDRA will have expertise in econometrics, statistics and data science, preferably with a background in nonparametric analysis and causal inference. The PDRA will join the team for 2 years
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We are seeking a talented researcher with at least 4-years postdoctoral experience in epidemiology, health data science or medical statistics. You will be responsible for establishing a large health
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potential target mechanisms, you will use Mendelian Randomization to determine which associations have causal evidence. The role will involve statistical analysis of ancestrally diverse datasets, writing
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will have a PhD (awarded or imminent) in a relevant subject, a strong background in conducting fieldwork with wild animal populations and using mixed-modelling statistical approaches. Extensive knowledge
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of the Centre’s work. COMPASS is an EPSRC-funded Centre for Doctoral Training in Computational Statistics and Data Science, offering students a 4-year PhD training programme in the statistical and computational
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in Medical Statistics and Health Data Science. Applicants should have a PhD in a quantitative area, preferably in machine learning or including a substantial machine learning component. They should
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. You have: • A PhD in epidemiology, public health, medical statistics or other relevant quantitative discipline • Significant experience of research in an academic setting • Experience
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and papers for publication and co-ordinate activities to maximise engagement with research and/or impact beyond academia. You have: A PhD in epidemiology, public health, medical statistics or other
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statistical packages and/or coding for the analysis of next-generation sequencing data. Independently design and complete experimental plans. Experience in the co-supervision of PhD students. Contribution