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Applicants are invited for the above vacancy in the Division of Informatics, Imaging and Data Sciences, University of Manchester. You will join the Division and take responsibility for an area of
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development of a computational pipeline that integrates multi-omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. You will be
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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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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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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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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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leveraging advances in Earth Observation (EO) and data science techniques to develop EO mapping tools and capacity that empower governments, financing and development actors with information to target, monitor