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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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Programme. Working with Dr Kevin Gallacher and Professors Marc Sorel and Douglas Paul the focus of this post is to develop a silicon photonic integrated circuit platform that consists of integrated III-V gain
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Postdoctoral Research Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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slavery and war. Structured around four interconnected research strands—(Re)conceptualising, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform
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Postdoctoral Research Associate in Computer Science ( Job Number: 25001131) Department of Computer Science Grade 7: - £38,784 - £41,064 per annum Fixed Term - Full Time Contract Duration: 36 months
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undergraduate and postgraduate programmes in Sociology, Criminology and Social Work. Further, we support the delivery of a faculty research methods programme as part of the collaborative NINEDTP and contribute
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completion) or possess experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and have relevant research skills in order to work within the research programme
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Associate in Physical Chemistry Job Description: Chameleon Dyes: Circularly Polarised Luminescent Photography and Lanthanide Complexes for Advanced Intelligent Security Applications Counterfeiting is
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to understand immune microenvironmental interactions; Integration and interpretation of complex datasets in collaboration with computational scientists You will be expected to take a lead in experimental design