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will hold (or be close to completion of) a PhD in epidemiology, nutritional epidemiology, molecular epidemiology, medical statistics or other relevant subject. You will also have an excellent
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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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, 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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. 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
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or other statistical packages Desire to work within mental health research Excellent management and organisational skills Experience of working effectively within a team and ability to work independently
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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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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
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and esteemed industrial and governmental partners. Your expertise in machine learning, statistical analysis and programming will drive impactful research aimed at solving real-world challenges. Why join
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We are looking for a statistical geneticist to join the Cardiovascular Epidemiology Unit (CEU), Department of Public Health and Primary Care at University of Cambridge. The postholder will be
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and esteemed industrial and governmental partners. Your expertise in machine learning, statistical analysis and programming will drive impactful research aimed at solving real-world challenges. Why join