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widening participation schemes to enable junior researchers to gain experience in the lab. The candidate will have: A qualification at QCF level 6 (such as a bachelor’s degree) in a relevant biological science
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in combination with X-ray crystallography, enzyme kinetics and computational chemistry to investigate how enzymes utilise changes in conformational entropy to control the relative stability
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of progress. We helped usher in the computer age in 1948 with the world’s first stored-program computer “The Baby” and Alan Turing helped shape what would become the foundations of AI right here on campus. Home
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engage and influence stakeholders across diverse disciplines. Not essential but desirable: Higher degree in AI, computer science, or related field (or equivalent experience). Familiarity with higher
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materials • AI, data and advanced computing We seek to employ an Application Scientist with expertise in the materials science of one of the following: sustainable polymers, nanomaterials, data analytics
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child health. The successful candidate will contribute to the development of advanced mathematical and computational models to analyse high-dimensional multi-omic datasets, including genomics
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transcriptomic organisation, using high-resolution single-cell and spatial transcriptomic data. The successful candidate will develop computational frameworks to integrate and analyse multi-modal datasets
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Fluid Dynamics (Department of Mathematics) and Organic Chemistry (Department of Chemistry). The research will be carried out in close collaboration with the research groups of Professor Jordi Bures and Dr
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and Growth Accelerators Programme. A decline in working-age health has had a significant impact on numbers of people not participating in the labour market. As economic and health outcomes are strongly
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types, and potentially inform design of future treatment regimes. We are looking for an enthusiastic and well-motivated individual from a biological or medical sciences background with experience