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Field
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applied and methodological biostatisticians who work together to develop and implement state-of-the-art statistical methods in health research. The role will be based in our offices on the University main
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community. To identify potential target mechanisms, you will use Mendelian Randomization to determine which associations have causal evidence. The role will involve statistical analysis of ancestrally diverse
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a hip or knee replacement. The project team, led by Alex Bottle, professor of medical statistics, is multidisciplinary, including surgeons, allied health professionals, and social scientists. You will
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-analysis on mammalian play using phylogenetically informed statistical models to test evolutionary theories about the importance of play behaviour. You will have a PhD (awarded or imminent) in a relevant
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Applications are invited for a Medical Statistician to join our growing Trial Statistics team in the Primary Care Clinical Trials Unit. The successful applicant will be expected to work closely and
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will initially be focused on developing and evaluating machine learning and statistical modelling tools to predict and classify disease trajectories using large scale health records databases to answer
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statistical approaches to the study of the genetic architecture of human complex traits, with a focus on modelling statistical interactions between genetic mutations in DNA using Biobank-scale data
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exposure methods to enhance comprehension of material corrosion in hypersaline environments. Reliable test methodologies and statistical analysis techniques will be employed to assure conclusive
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be responsible for conducting a meta-analysis on mammalian play using phylogenetically informed statistical models to test evolutionary theories about the importance of play behaviour. You should apply
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. This data will help shape paediatric-specific T2T endpoints and facilitate the development of personalized treatment strategies. You will apply advanced statistical and machine learning methods, and your