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Applications are invited for a Postdoctoral Research Assistant in Superconducting Quantum Circuits. This is a fixed-term position until 30 June 2027. We would like the successful candidate to start as soon as possible but must be available to start by 1 April 2026 at the latest. This project...
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of study and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to undertake research
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irradiation damage of materials, who is self-motivated and able to plan and deliver a complex research project. You will have a relevant PhD (or be near completion) in Materials Science or Physics and will have
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leadership skills as a postdoctoral researcher. This position is for 24 months at Grade 7. You will be working in either the rapidly emerging area of functional material photonics in non-von Neumann computing
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leadership skills as a postdoctoral researcher. This position is for 12 months at Grade 7. You will be working in either the rapidly emerging area of functional material photonics in non-von Neumann computing
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part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional
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application of research ethics Experience with the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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significant research investment at CPFC across postgraduate (PhD, MRes) projects spanning sport science, rehabilitation, and computer science domains. These projects engage across CPFC’s senior men’s, senior
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the perspective of numerical analysis and computational mathematics. The overarching aim of the project is to develop new mathematical theory and algorithms to identify, quantify and, where possible, mitigate