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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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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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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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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High
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data from relevant cohort studies using cutting edge statistical techniques of causal inference. Appointment Details: Application Process: A full job description and person specification can be accessed
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Assistant. About you You will have a PhD or MSc with experience in a relevant discipline (e.g. statistics, epidemiology, public health). You will have advanced quantitative and statistical software skills
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such as Geography, Computer Science, Planning, Statistics, Mathematics, Physical Sciences, Social Sciences are likely to be relevant. Or other relevant or equivalent qualifications. They will also have
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all data management processes and data linkage tasks and activities for a portfolio of projects, preparing statistical analysis plans and preparing and analysing data. The post-holder will work within
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of Masters Programmes and a substantial number of postgraduate research students. We undertake research on a wide range of issues relating to human evolution, with a fo cus on model-based statistical inference
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and Methodology with a specific remit to design, conduct, analyse and publish clinical trials and other well-designed studies. The CCTU provides clinical, statistical, and trial operations leadership