675 software-engineering-model-driven-engineering-phd-position Postdoctoral positions in United Kingdom
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methods and analytical tools in Africa and Asia. Our protocols and software will be available to the community to allow wider testing and sustained implementation. A critical part of WaSPP research agenda
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well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role We are seeking to fill a position of Postdoctoral Research Associate, working in close
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of the tissue microstructure. In this position, you will work on developing advanced preclinical MRI techniques and you will employ them for 1) in-vivo mouse liver imaging, both for normal controls and in models
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well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics or another related area. (For
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the physical and life sciences at the Science and Technology Facilities Council (STFC). Our suite of neutron and muon instruments gives unique insights into the properties of materials at the atomic scale. We
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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perspectives from socio-legal studies, science and technology studies (STS), and philosophy our project will critically explore regulatory approaches and their unfolding impacts in three regions: Europe (France
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group. The position is associated with a project funded by the UK Engineering and Physical Sciences Research Council. The post holder will be expected to display the initiative and creativity, together
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Professor Chris Russell. This is an exciting opportunity for you to work at the cutting edge of AI, contributing to a major shift in how we understand and apply foundation models. The position is full-time
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Applications are invited for a Research Fellow position on the UKRI-funded Turing AI Fellowship project ‘Event-Centric Framework for Natural Language Understanding’ led by Prof. Yulan He. The 5-year project aims