30 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" positions at University of Leeds
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aerosol–cloud interactions, model development and high-performance computing, while producing publishable research and contributing to knowledge exchange with the wider modelling community. Please note that
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the computational work. If you are looking for a role that will provide new knowledge on a very important membrane protein, apply today. As Research Fellow your main duties will include: Working with and in support
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last year’s programme can be found here: https://arc.leeds.ac.uk/knowledge-centre/rse-interns-transform-research-challenges-into-digital-solutions/ Due to the partnership with N8CIR, the candidates
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Layout (OCFL) standard; A foundational cloud infrastructure for digital humanities research and teaching. You will utilise your skills, knowledge and experience to provide high quality and proactive
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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds Eligibility: UK and International Funding: School of Computer
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continuation and success of students on programme. We are looking for a candidate with experience of providing pastoral support on individual basis and in group settings. An understanding of the support needs
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will have some prior knowledge in deep learning and computer graphics. Subject area: Statistics, AI & Machine Learning, Public Health & Epidemiology
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to teach one or more foundational subjects is essential and we particularly welcome applications from those with a strong track record of leadership at module, programme and/or school level. You will deliver
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This role is available to current employees within IT Services at the University of Leeds only. Interviews will be held w/c 11 May 2026. This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working...
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Do you have a strong technical background in Machine Learning and Numerical Modelling? Are you interested in working with industry to develop Machine Learning methodologies and protocols needed to deliver resilient, interoperable and safe CO2 transport infrastructure in Europe? Carbon Capture...