111 parallel-and-distributed-computing positions at University of Bristol in United Kingdom
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or computational models of intergroup conflict. You will also conduct literature reviews, write papers and run school events. The post is based in Bristol. You will have a PhD in a relevant subject (or be working
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14th September if it is filled before then. We encourage you to apply at your earliest convenience to avoid disappointment. You will provision of specialist solutions within hybrid cloud computing
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Are you interested in developing machine learning for scientific research? We invite you to apply to undertake postdoctoral research in the group of Professor Craig Butts, developing machine learning methods applied to the elucidation of chemical structure, including 3-dimensionality...
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. You will work closely and liaise with the technical and academic teams within the Interface Analysis Centre including the HyDUS project consortium, National Threat Reduction Programme and Sellafield
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are safe, compliant, cost-effective, and aligned with University standards and strategic goals. Identifying and resolving risks and issues that affect scope, programme or quality. Overseeing remedial works
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. The overarching aim of our group’s research programme is to develop a deeper understanding of the immunology of infection, and in particular population carriage/immunity to inform the use (and development
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of Research Fellow at the Met Office Hadley Centre. This will involve running and developing climate models and rapid-response tools and emulators. All work is theoretical/computer based and no real-world
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. For informal queries about the role please contact: Dr Adrian Flint, Director of Programme Planning, Adrian.Flint@bristol.ac.uk Contract type: Open Ended with Fixed Funding until 31/08/2027 Work pattern: Part
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computational methods in biophysics, soft matter, and colloid science to directly access molecular structures and interactions at complex bio-interfaces. The PDRA in Bristol (funded till 30 June 2028) will focus
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university level in subjects relevant to the Engineering Mathematics teaching portfolio. You should have a good honours degree and have (or expect to have soon) a PhD in Mathematics, Computer Science, Physics