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of the lab is the intersection of computational psychiatry and brain-body interactions. The post holder will assist with neuroimaging studies exploring body-brain interactions, working closely with postdocs
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with grant administration and the writing of reports for funding bodies, when relevant. The Department of Sociology is part of a joint undergraduate degree programme in Human, Social and Political
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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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the starting date is negotiable. The current funding is guaranteed from the Montague Burton Fund. We are looking for a candidate who is a health economist with excellent computational skills. The post is
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research centre well-known for its close-knit community, friendly atmosphere, and outstanding research support. We are seeking a post-doctoral research associate with experience in computational approaches
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
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to the regulation of complex behaviours. This will involve a range of techniques including high resolution confocal microscopy to determine receptor localisation, behavioural analysis of C. elegans and computational
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situ/operando experiments and associated cell design is desirable. Familiarity with one or more of the following techniques is highly desirable: X-ray and neutron diffraction, computational chemistry
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Mathematics and Mathematical Statistics. Duties include developing and conducting an individual program of research. The successful candidates will usually be associated with one of the departmental research