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To undertake research on the evolution of prokaryotic pangenomes using machine learning and AI approaches. The work will involve the analysis of large prokaryotic genome datasets, the development
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of behavioural and pupillometry data. The ideal candidate will have experience of experiment design in EyeLink, and/or collecting eye tracking and pupillometry data. You will also be responsible for liaising with
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and Medical Sciences and will work closely with a large, interdisciplinary team of academic researchers and clinical collaborators. You should have a PhD (or be about to obtain) in areas relevant
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the growth of mastitis-causing pathogens. Performing on-farm environmental sampling of dairy cubicles and teat-end swabbing to gather real-world data. Evaluating the relationship between cubicle hygiene
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be able to start on 6 October 2025 with relevant Rights to Work. The post is fixed term until 31 May 2026, with the potential for extension if funding is available. For more information: Professor
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. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
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tissues. The data generated from this proof-of-concept project will be used to support follow-on research and translational grants. To ensure clinical relevance, you will also collaborate with patients
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pathways, specifically chromatin and small non-coding RNAs, in regulating gene expression in the parasitic nematode Strongyloides. In this role you will use Strongyloides epigenetic profiling data
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track