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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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epidemiology, data science, and policy to produce high-quality, policy-relevant evidence with real-world impact. You should have a PhD (or near completion) in public health, epidemiology, data science, applied
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prison sites, recruitment and data collection, and complex data analysis. You should have a PhD (or near to completion) and an Undergraduate degree in psychology or a relevant discipline. You will have
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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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to meetings with industrial collaborators if required ¿ Engage with your own personal development opportunities. You should have a degree in Chemistry and a PhD in polymer chemistry. All applicants must
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have a PhD (or equivalent professional experience) in an appropriate engineering discipline (Naval Architecture/Civil/Structural Engineering /Mechanical/Renewable Energy/Engineering Management). The post
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. An ability to use diverse methods in the pursuit of applied knowledge is preferred and a PhD, completed or near to completion, in a relevant discipline required. You will have experience of working
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should have a PhD degree in Biochemistry, Biomedical Science, Biological Sciences, Omics science, Microbiology or a related discipline and experience of applying mass spectrometry in human signalling
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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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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