49 computer-algorithm-"Prof"-"Washington-University-in-St" research jobs at University of Nottingham
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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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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will work with and under the mentorship of Prof Nicolai Kraus. Apart from contributing to existing research projects, they will also be expected to also advance their own independent research career
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laboratory work and will focus on the successful co-ordination of sites and public engagement activities. The successful applicant will work with Prof Morling alongside the recruiting NHS sites and the team
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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strategies. The University of Nottingham is leading a large programme grant ‘Public Health Intervention Responsive Studies Team’, funded by the NIHR until 2027. PHIRST-LIGHT is a collaboration between the
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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. The successful candidate will work with Prof Meghan Gray and Prof Frazer Pearce and members of the Nottingham Astronomy Group. They will also be expected to interact with international collaborators as part of
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-based role focusses on electromagnetic design, computational modelling (e.g., COMSOL, CST, ANSYS), dielectric characterisation, and testing that help to bridge the gap between laboratory-scale research