56 postdoc-computational-fluid-dynamics-"Prof" 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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United Kingdom Application Deadline 10 Sep 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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conduct the research activities into the computational fluid dynamics simulation and optimisation of vortex reactors. You will develop physical and numerical models for the three-dimensional simulation
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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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of crystallization and glassy dynamics. In collaboration with theorists Prof. Juan Garrahan (UoN) and Prof. Kranthi Mandadapu (UC Berkeley, USA), the project will build on previous work [J.G. Downs et al PRL 127
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of 20 hours per week) - please mention in your application if you would like to work part time. For informal enquiries, please contact Prof Srinivasan Madhusudan (srinivasan.madhusudan@nottingham.ac.uk
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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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-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