342 parallel-computing-numerical-methods-"https:" positions at University of Nottingham
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the UK Atomic Energy Authority (UKAEA). The student will be based at the University of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering
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The Mechanical and Aerospace Systems Research Group (MAS) requires an Experimental Research Fellow who is experienced in the field of multiphase computational fluid mechanics and aero-engine oil
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scientific computing are essential. A Master’s degree would be desirable, but not essential, along with research experience in building methods for analysing/modelling neuroimaging data. The University
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited for a motivated Research
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6 Dec 2025 Job Information Organisation/Company University of Nottingham Research Field Computer science » Other Mathematics » Statistics Medical sciences » Other Researcher Profile Recognised
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sustained period of growth, we are looking for a talented scholar and teacher to help strengthen our new International Public Policy Program. The successful candidate should be available to start August 2026
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Recognised Researcher (R2) Country United Kingdom Application Deadline 23 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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) Country United Kingdom Application Deadline 6 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 20 Is the job funded through the EU Research Framework Programme? Not
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substantial background in fluid mechanics. Essential skills: Strong knowledge of numerical methods Ability to work effectively in a team Desirable skills / experience: Experience of applying CFD to a complex
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological