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Field
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form): Essential: PhD (or equivalent experience) in a relevant field (e.g., bioinformatics, computational biology, molecular biology, cell biology, biochemistry, developmental biology, genetics) Previous
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subverted in individuals who have inflammatory diseases. Some background knowledge of bioinformatics and biostatistics is desirable. Fees and funding This is a match fund project supported by the Sheffield
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or molecular biology and bioinformatics are welcome to apply. The successful candidate will also be expected to contribute to the formulation and submission of research publications and research proposals as
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disease. The postholder will bring expertise in biochemistry and bioinformatics and exploit a variety of approaches, from proteomics to genomics, to understand the mechanisms associated with extracellular
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experiments. The ideal candidate will have some familiarity with bioinformatics and a degree in evolutionary biology or related discipline. References Elmer KR (2016) Genomic tools for new insights to variation
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for meetings with collaborators and for publication as journal articles. Experience required for the role - Experience in Computational Biology, Biostatistics, Statistics, Bioinformatics or a related field, with
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bioinformatics and the social sciences. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; IPhD: 5 years full-time; Apply now Overview Overview The School
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immunology, viral ecology, clinical virology, virus epidemiology, mathematical modelling and bioinformatics. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; MD
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Decoding Temporal Windows for Mitochondrial Intervention Across Species Using Data-Driven Approaches (available as IPhD) Supervisor: Alberto Sanz MSc choices: Biomedical Sciences, Bioinformatics
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of Science and Engineering A variety of approaches are used, including collection of experimental and observational data, epidemiological, mathematical, computational and statistical modelling, bioinformatics