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close to completing) a PhD in statistical genetics, computational biology, bioinformatics, or a related quantitative discipline, with proven expertise in the analysis of large-scale sequencing data and
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experience in T-cell biology, including functional assays such as flow cytometry, T-cell receptor cloning/sequencing, cytokine release assays, ELISpots, and cytotoxicity assays. Knowledge of EBV biology and
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Klebsiella spp. infections, including those associated with antimicrobial resistance (AMR). As part of this post there is an opportunity to analyse large longitudinally collected sequencing datasets (both
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preimplantation genetic testing, molecular sequencing, and bioinformatics. If you are eager to contribute your expertise and inspire the next generation in these cutting-edge fields, this role offers a unique
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multiple variants that have arisen independently in nature and have potential to improve desirable properties, such as resistance to disease and environmental/ climate stress. This is a great opportunity to
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complex, technical research into compelling narratives across digital, print and media channels. Key responsibilities: Develop and lead a School-wide research communications strategy aligned with our brand
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to contribute to key areas of strategically aligned work. The Centre for Teaching and Learning supports the academic development of teaching and learning, aligning with agreed-upon institutional priorities
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. Your role is vital to keeping projects on track and aligned with strategic goals. Working closely with a Divisional Programme Manager, you will gain hands-on experience managing project delivery while
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lead analysis of large-scale ‘omics datasets, including genomic sequencing, RNA-sequencing, and ribosome profiling data, playing a role in setting the project direction. You will work in a highly
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, including genomic sequencing (e.g. Genomics England and UK Biobank), RNA-sequencing, and ribosome profiling data to develop new insights, uncover novel rare disease diagnoses, and identify new therapeutic