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Develop and apply bioinformatics pipelines to integrate multi-omic datasets and identify conserved ageing signatures across experimental models Build and analyse gene regulatory networks from tissue ageing
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, negative-stain transmission electron microscopy) • Knowledge of bioinformatics tools e.g. SnapGene, BLAST, ChimeraX, PyMol, ImageJ, AlphaFold • Independence in design and optimisation of experiments relevant
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. • Bioinformatics: knowledge of R software, analysis of proteomics and sequencing data. Track record of research : This will include achievements, and contributions to published papers. Other relevant evidence of
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., bioinformatics, molecular biology, cell biology, biochemistry, developmental biology, genetics) A first-author manuscript published or submitted from PhD work Previous work experience required (will be assessed
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. • Bioinformatics: knowledge of R software, analysis of proteomics and sequencing data. Track record of research : This will include achievements, and contributions to published papers. Other relevant evidence of
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, negative-stain transmission electron microscopy) • Knowledge of bioinformatics tools e.g. SnapGene, BLAST, ChimeraX, PyMol, ImageJ, AlphaFold • Independence in design and optimisation of experiments relevant
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Develop and apply bioinformatics pipelines to integrate multi-omic datasets and identify conserved ageing signatures across experimental models Build and analyse gene regulatory networks from tissue ageing
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., bioinformatics, molecular biology, cell biology, biochemistry, developmental biology, genetics) A first-author manuscript published or submitted from PhD work Previous work experience required (will be assessed
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. The Computational Cardiac Imaging Group works at the intersection of clinical imaging, bioinformatics, computer vision and molecular cardiology to explore the mechanisms underlying heart function. The group uses