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Field
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generating and analysing single-cell sequencing data is essential. The postholder will be responsible for testing scientific hypotheses, analysing complex datasets, and contributing to the development of new
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transmission at multiple scales’, working with researchers at the Universities of Manchester and Cambridge, and the London School of Hygiene and Tropical Medicine. The project will involve the analysis of whole
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particular expertise in qualitative and quantitative analysis of RNA sequencing data and its integration with mass spectrometry datasets. This position is central to the Antigen Discovery Laboratory and offers
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and decision-making in humans and machine learning systems. The post-holder will have responsibility for carrying out rigorous and impactful research into human-AI interaction and alignment, with a
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to take the next step in your career to become a world-leader in hyperpolarised imaging. The Xenon and 13C teams share staff which enables cross-disciplinary idea sharing and sequence development, as
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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
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work on the PANGEA-HIV project, analysing viral sequence data to assess how effective broadly neutralising antibodies may be against current HIV strains in Southern Africa. Second, you'll support early
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other demands About You We are looking for an experienced researcher to develop and deliver projects that leverage whole-genome sequencing at population-scale to identify rare, high-impact variants
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analyses of circuit development, and cutting-edge direct RNA sequencing. The successful applicant will work closely with the group leader and other team members, including a research assistant and a PhD
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techniques for example multi-parameter flow cytometry, cell culture, systems serology, ELISpot and ELISA. You should have some knowledge of single-cell RNA sequencing (RNAseq) and other relevant next