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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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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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-generation sequencing (NGS) data, genome-to-genome studies, and genome-wide association studies. They will develop and apply computational pipelines and novel statistical approaches to investigate viral
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single-cell), with the aim of linking DNA sequence and chromatin features to gene regulation and expression. You will translate mathematical and AI concepts into robust, well-engineered pipelines that run
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, ELISPOT, flow cytometry, B and T cell receptor sequencing, and transcriptomics. You will develop a reproducible informatics and machine learning pipeline to process large volumes of sensitive trial data in
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for facilitating effective communication with, and interaction between, the Hub’s various stakeholders, both internal and external. This will involve managing multiple communications channels and planning, creating
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, bioinformatics, and data science. You will design and deliver statistical analyses using large-scale electronic health records and pathogen sequencing data to improve infection diagnosis, management, and
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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