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-molecule manipulation of different signalling pathways; CRISPR/Cas9-mediated gene targeting in 1-cell embryos), bioinformatic analysis of single-cell transcriptomic datasets and gene-expression studies using
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. You will also demonstrable knowledge in IT Infrastructure: expertise in networks or desktop or servers, and in Application Design: expertise in application development, or analysis and design
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Bioinformatic analysis (i.e. experimental design of bulk or single cell transcriptomic experiments, generation of high-quality datasets, independent or collaborative analysis of data, experience with myeloid
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, which is focused on building an underpinning interdisciplinary understanding of the biological dimensions of pandemics. The role-holder would be expected to lead elements of the programme that will build
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Programme and other scientific studies. Develop automated methods and software to support large-scale bioinformatics analysis. Collaborate closely with a multidisciplinary team of clinicians, biologists, and
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and Trainers. Our team work with academics and staff across a wide range of subjects and locations, providing TLA product specific advice, system, user requirements and change analysis, evaluation
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and meetings, coordinate Centre promotion and contribute to the gathering and analysis of data. The role involves supporting and helping to improve a range of communications activities, including
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analysis, and the handling of large datasets is essential. Proficiency in ex vivo tissue analysis, cell and organoid culture, and gene targeting (e.g., CRISPR/Cas9) is highly desirable. Additional experience
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supervised by Professor Henrik Salje in a collaborative project with researchers at the University of Lancaster and the UK Health Security Agency (UKHSA). The project will consist of the analysis of SARS-CoV-2
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. The work will entail electrophysiological analysis, structural biology approaches such as cryo electron microscopy, computational modelling, cell biology and biochemistry. The role holder will therefore need