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aerospace engineering, experimental plasma physics in particular reconnection, or other ion beam uses. It is desirable that the person has experience of operating large vacuum chamber facilities, and a strong
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portfolio and the wider Responsible AI landscape into clear, evidence-based policy advice for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical
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of an innovative new multiparametric sensor technology to monitor the microbial properties of cattle rumen. This sensor bolus will be manufactured and used to measure physical and chemical parameters in cattle
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of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC). EXPRESS is a large (£10M) flagship
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to addresses the main priorities of the engineering net zero mission by accelerating deployment of a new technology that unlocks net-zero chemicals/e- fuels production and offers a route to valorise the CO2
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professional qualification in civil/maritime/ocean engineering, geography, oceanography, marine sciences, geology, archaeology, or other, with experience in advanced GIS software for data management, processing
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electrolyser for CO production, and derisk for further commercialisation. The project aims to addresses the main priorities of the engineering net zero mission by accelerating deployment of a new technology that
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experience in a relevant physical/engineering science. The candidates must possess detailed knowledge and experience in miniature electrochemical sensor design, fabrication and testing. We are looking for a
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16 Jul 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Biological sciences Computer science Physics Chemistry Researcher Profile Recognised Researcher (R2) First
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portfolio and the wider Responsible AI landscape into clear, evidence-based policy advice for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical