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novel place-based, policy-relevant epidemiological, interventional research and longer-term modelling. We seek highly motivated individuals with a PhD or equivalent in data science, applied statistics
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violent outcomes such as domestic and sexual violence. Your responsibilities will include coordinating and managing the project, overseeing the research database, conducting statistical analyses
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the project. About the role: You will work with Dr Theresa Smith and collaborate with Dr Aisling O’Kane and her team at the University of Bristol. You will conduct fundamental research in statistics and machine
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Location: Department of Statistics, 24-29 St Giles', Oxford We are seeking to recruit a Postdoctoral Research Assistant funded by Wellcome. This postholder will work on the development and
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, Nulsen Genome Medicine 2021); prediction of the causal interplay between cancer genes and the immune microenvironment using statistical models (Misetic Genome Medicine 2023); development of a software for
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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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statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making agents, including uncertainty quantification at the agent’s level. The project will
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are looking to recruit a data scientist with expertise who specialises in extracting valuable insights from large and complex datasets, using a combination of data analysis, machine learning, and statistical
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to engage with diverse audiences, including individuals with lived experiences of depression, through public engagement and public outreach initiatives. As a valued member of our team within the Statistical