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. The laboratory uses a combination of statistical, computational, and experimental approaches to understand how processes in our cells lead to changes in their DNA. These changes include errors (mutations
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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 enthusiastic researcher to develop their career in statistical epidemiology within the internationally leading Department of Statistics in the University of Oxford at a critical time for this field
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, Computer Science, or related discipline. The successful candidate will possess a strong background in Biology, Statistics/Mathematics and/or Computer Science. Extensive experience in software and algorithm
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for statistical analysis together with experience of analysing real world data. Good track record of peer reviewed scientific publications, excellent team working and communication skills are also essential
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high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens at Kew regularly to liaise with
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, statistics or relevant subject area such as molecular biology. You should have strong computational skills and have past experience working with RNA and small compound data sets. Critical thinking, good
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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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, statistics, mathematics, engineering or other relevant areas and have up-to-date knowledge in advanced AI topics, such as deep learning, representation learning, sequence models, NLP, multimodal AI, generative