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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. Department The Student Data Management & Analysis (SDMA) team provides a portfolio of data, reporting and statistical
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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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collaborations across the University, and supervise research students. The successful applicant will also have the opportunity to conduct a small amount of teaching at the Department of Statistics in their areas
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primary analysis to apply bioinformatics solutions to biomedical problems. You will be responsible for carrying out data processing and integration, statistical analysis, presentation and interpretation
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algebra, algebraic groups, statistical mechanics, topological quantum field theory, topological quantum computing, algebraic computation, and geometric topology. For more information on the programme
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field, together with pre- and/or postdoctoral research experience. Specialist knowledge in CRISPR technology, together with a good knowledge of statistics, bioinformatics and R programming is essential
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better statistical methods to quantify the impact of neighbour noise on health and wellbeing. This project will use a mixed-methods approach, combining quantitative data collection with qualitative
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should have substantial research experience in machine learning, statistics and bioinformatics and will develop models for biological age prediction from multiple image derived phenotypes. Expert knowledge
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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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to hold a PhD in Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject. It is essential that you have experience in the analysis of single-cell RNA-seq