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Field
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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of the resulting materials will be undertaken using thermal, mechanical and rheological methods, as well as using spectroscopy and GPC methods. Materials will be tested in applications and end-life recycling
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part of your personality: You have successfully completed a doctoral program in Judaic Studies or a related field by the application deadline. You have experience with interdisciplinary theories and
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cell sampling and biobanking methods for endangered species. This work will support global conservation efforts at a time when over one million species face extinction. The post holder will be involved
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of computational biology, molecular biophysics, and cutting-edge analytical technologies. You’ll contribute to the development and application of computational methods to understand protein folding, structure, and
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research at the intersection of moral psychology and AI ethics, contributing to a major programme of work on how humans understand, evaluate, and trust artificial intelligence (AI) systems that make moral
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science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications, or a bit of both
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of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics
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. Key Responsibilities: Conduct spatial analyses of Swiss EDs using space syntax and isovist methods, examining inter-visibility, accessibility, ‘choice’ points, and spatial complexity. Analyse point