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offences. The project will take a multi-method approach using methods in experimental psychology and psychophysiology. You will play a key role in designing experimental paradigms for the collection
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home of several third-party funded research projects. Through cooperation with numerous academic institutions worldwide, the Department is very well connected with the international scholarly community
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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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offences. The project will take a multi-method approach using methods in experimental psychology and psychophysiology. You will play a key role in designing experimental paradigms for the collection
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the full project team. This programme of research will be conducted in collaboration with partners from the Australian National University and Natural England and has been funded by the UKRI through the ESRC
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multiple sclerosis under different treatment exposures. You will contribute to delivery of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across
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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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) Country United Kingdom Application Deadline 29 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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the delivery of the 3-year EPSRC Funded ‘Digitally Enabled Circular Healthcare Innovation’ (DECHI) research programme. The aim of the programme is to investigate how advances in digital technologies and digital
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effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and validate numerical