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complexes involved in RNA modifications as well as the impact of chemical modifications on RNA structure. We offer unique access to first-class instrumentation for structural biology. At the national centre
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these influence immune function and disease. The project combines biochemistry, molecular and cellular biology, and in vivo models to deliver a comprehensive picture of immuno-metabolic function during inflammation
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candidate will work in translational immunology to deliver a specific project to understand the biology of lubricin and its role in fibroblast-macrophage crosstalk in lining layer of the synovium under
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& Infection who specialise in fungal biology and drug resistance. The candidate should demonstrate a good understanding of molecular microbiology, and have excellent communication skills. They will be expected
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microscopy and image analysis tools (ImageJ) Experience in working with clinical samples Expertise in bacterial cell culture and infection models Experience using advanced spatial biology analysis tools
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of Microbiology & Infection who specialise in fungal biology and drug resistance. The candidate should demonstrate a good understanding of immunology and medical microbiology, and have excellent communication
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Job Description Position Details Department of Immunology and Immunotherapy, School of Infection, Inflammation and Immunology, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £45,943 to...
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-translational modifications impact RNA structure and the molecular mechanisms by which acetylation of RNA impacts cellular functions. Your main research tool will be structural biology together with biochemical
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(e.g. plant genetics, plant reproductive biology, plant molecular biology). Experience Demonstrable prior experience in one or more of the following research techniques would be an advantage: Functional
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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible