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contribute to statistical, genetic and genomic epidemiology projects that underpin drug development, working with large-scale genomic and linked health data, including major cohort studies and biobank
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programme is to develop a deeper understanding of the immunology of infection, and in particular population carriage/immunity to inform the use (and development) of vaccines. Our focus is predominantly
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, the candidate will contribute to the human and environmental microbiome focused research at DoME. One of the main tasks will be the development of high throughput, sequencing-based microbiome profiling methods
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development and hydration behaviour Durability performance and long-term behaviour. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison
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About the Role The Department of Education are seeking a Research Assistant to provide research support for a project focused on the development of a large external research grant application titled
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role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian
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-Oncology, Nuffield Department of Medicine. The research group led by Dr Carol Leung focuses on developing novel immunotherapies against cancer, primarily through the development of cancer vaccines that aim
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on developing novel immunotherapies against cancer, primarily through the development of cancer vaccines that aim to stimulate the body’s immune system to target and kill cancer cells. The group also studies
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Development Concordat which means we will endeavour to support the post holder to develop their research career, including through 10 days of dedicated development time per year’ (pro rata). Role Summary Work
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experimental workflows to support project milestones related to microbial detection and biosensor development. Contribute to sequencing-based microbial profiling of environmental and cleaning validation samples