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Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data-intensive research
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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, plan, and execute research, knowledge and technology transfer projects primarily under the BISCA banner with the assistance of a mentor if required. Participate in and contribute to research projects
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development of the National Facility for Ultra-High Field (11.7T) human MRI/S at the University of Nottingham. We are looking to recruit MR physicists and biomedical engineers, or equivalent, enthusiastic
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engineering. For appointment at grade 8 some post doctorial experience in multiple areas as listed above, or at the interdisciplinary interface and / or some expertise in research coordination and running a
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for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area 3+ years’ post-doctoral or equivalent industry experience in omics with preferably focus
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Background Applications are invited from graduates with a strong first degree and PhD in Psychology for a Research Fellow appointment at the University of Surrey. The appointee will co-ordinate and
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. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in cancer immunology, virology, cell biology or molecular
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Background Applications are invited from graduates with a strong first degree and PhD in Psychology for a Research Fellow appointment at the University of Surrey. The appointee will co-ordinate and
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a PhD in engineering or a related area. In particular experience in experimental methods for aerodynamics is essential. Good prior experience in wind tunnel testing is essential with experience in