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analysis and coalescent based species inference, and synthesis in the form of a formal revision. Supervisors: Prof. Michael D. Pirie (main; Department of Natural History, University Museum, University
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processing for high-throughput sequencing, bioinformatics including phylogenetic analysis and coalescent based species inference, and synthesis in the form of a formal revision. Supervisors: Prof. Michael D
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epidemiological methods, causal inference and machine learning techniques, we aim to: Improve understanding of risk factors for primary headaches Predict diagnosis and disease progression Identify the most
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(https://www.reading.ac.uk/maths-and-stats/ ), which has a long and established track record of research with 98% of research outputs ranked as world leading or internationally excellent, and benefit from
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candidate will be based at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ), which has a long and established track record of research with 98% of research outputs