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We are looking to appoint a Senior Research Fellow to join the Department of Statistics and the Oxford-Man Institute of Quantitative Finance (OMI). The postholder will split their time roughly 40/60
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experience in data management, health data science, medical statistics, epidemiology, or a related discipline. We would welcome applications from people with advanced data science, epidemiological
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and teaching. We are seeking to recruit a statistical researcher to provide statistical and epidemiological leadership for the team studying the Benefits and Risks of Cancer Treatments. The post-holder
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We are seeking an enthusiastic Postdoctoral Research Assistant in Medical Statistics, with an interest in Artificial Intelligence (AI), to join the Computational Health Informatics (CHI) Laboratory
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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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learning and statistics as well as proficiency in the use of programming languages and statistical analyses are essential for this post. Previous research experience applying machine learning methods
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of) a PhD in epidemiology, nutritional epidemiology, molecular epidemiology, medical statistics or other relevant subject. You will also have an excellent understanding of statistical analysis
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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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remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
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Applications are invited for a Quantitative Research Assistant to work within the Medical Statistics team under Rafael Perera and Patrick Fahr on a climate change and health research programme. The