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approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism
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analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
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phenotyping. We are seeking for an enthusiastic Post Doctoral Research Assistant (PDRA) with strong experience in bioinformatic analyses to join our team and lead the analyses of bulk and single cell ‘omic
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findings, and represent the group at meetings. A working knowledge of bioinformatics is also essential. One or more first-author scientific publications, experience in protein purification and flow cytometry
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genome/protein analysis pipelines for Mycobacteria genomics and drug target identification. Bioinformatics techniques will include database-driven analyses, quantitative comparative genomics approaches
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innovative lab-based experimental work, adapting existing and developing new scientific techniques and protocols. In addition, you will apply bioinformatic tools to analyse a variety of datasets, including
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://www.rdm.ox.ac.uk/research/antanaviciute-group-computational-biology-and-tissue-immunology About you You should possess a Ph.D. (or equivalent) in Computer Science, Computational Biology, Bioinformatics, or a closely
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additional expertise in areas such as FACS/mass cytometry, bioinformatics, or in vivo work (holding a personal licence) would be advantageous. Application Process If you would like to discuss this role, please
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space, and experience and fluency in programming (with python, R, and SQL). You will also have experience in bioinformatics techniques, data management and relational databases, and experience in
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to performing cloud-based analyses on the IMCM data platform, identifying and troubleshooting technical or scientific problems, and working collaboratively with the IMCM bioinformatics core group to overcome