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of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks that regulate
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(e.g., single-cell sequencing, CRISPR/Cas9, microscopy). Basic computational skills (R, Python) are desirable. What we offer As well as the exciting opportunities this role presents, we also offer
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agents for pathogenic bacteria. The role: As a Research Scientist on the MRC-funded project "Mechanism of multiple drug resistance and genetic evolution of prevalent Salmonella serotypes derived from
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sequence data for fungal plant pathogens within the Dothideomycete family. The lab has an existing fungal collection of over 40 strains collected from wheat, wild-grasses and barley. Ideal candidates will be
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and other research groups to access advanced techniques, including proteomics, RNA sequencing analysis, advanced microscopy, and genetic mouse models. The candidate will have access
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capability Broad understanding of next generation sequencing (NGS) technologies and demonstration of proven experience in analysis of bulk and single cell transcriptomic data would be an advantage Ability
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those functional noncoding sequences and being able to predict the impact of variation within those regions has significant implications. As such, depending on the genetic disorder, between 30% and 70
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years, alongside dedicated in-house service from our core facilities and operational teams. A Senior Group Leader appointment would be subject to the candidate's research programme aligning with
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to undertake research in computational protein design. This will involve developing molecular simulation methods to optimise sequences for a variety of design tasks. Ensemble reweighting and alchemical
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metagenomics (similar to doi:10.1038/s41586-018-0386-6, 10.1111/1462-2920.15314) to profile both taxonomic and functional compositions of >3,000 newly sequenced soil sites. Using machine learning we will build