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), the successful candidate will start performing in vivo testing of gene editing in the DDEB mouse model using lipid nanoparticles previously tested in vitro. We will test different delivery routes of lipid
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Job Purpose We are seeking to recruit a motivated and creative Research Assistant/Associate (postdoctoral researcher) to work within an MRC-funded research programme (https://gtr.ukri.org/projects
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profile in the field of high performance computing and parallel system. You are involved in research projects and scientific studies in the field of parallel and high-performance computing systems, tools
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and modelling of nanoelectronic devices operating at cryogenic temperatures (4 Kelvin - 77 Kelvin) for energy efficient quantum computing (QC) and high-performance AI computing in data centres
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laser sub-assemblies entirely manufactured from fused silica and other high performance glasses. This is an integrated aspect of the “Making Challenge” of the “Smart Products Made Smarter” Prosperity
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candidate will start performing in vivo testing of gene editing in the DDEB mouse model using lipid nanoparticles previously tested in vitro. We will test different delivery routes of lipid nanoparticles, new
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AI and accelerating the development of Embedded AI systems and applications. The ANT doctoral candidates will design high performance distributed Embedded AI algorithms and systems under stringent
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which insect chemosensory receptors are able to sense and respond to carbon dioxide. The research programme will provide broad insight into direct molecular responses to carbon dioxide and supply tools
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis
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developing and applying the Multi-Estimator Method for Intrinsic Alignments (MEM-IA), which uses multiple shear estimators applied to the same galaxy sample to measure the intrinsic alignment signal without