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Research theme: "AI and Robotics in engineering", "Digital security and resilience", "Digital security and resilience" How to apply:uom.link/pgr-apply-2425 Number of projects: 1 This 3.5-year
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with Wigan Council. We are seeking a high-quality applicant who will become an embedded researcher with the Public Health team at Wigan Council and who can strike an effective balance between undertaking
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Chemistry consortium(link is external) . The ambition of this project is to establish self-driving laboratories to rapidly measure key physical properties of mixtures of molecules, including solubility
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of climate change and biodiversity loss pose urgent challenges for sustainability, both regarding actions on the ground as well as how they add up to reach global targets. The way people manage land lies
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the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g. oral/skin health products. The project will focus upon extending UoN patented
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applicable HDR courses. Eligibility criteria We are looking for a self-motivated PhD candidate with excellent organisation, problem-solving and project management skills. Candidates with both quantitative and
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in near real-time. This includes exploring and advancing electrochemical sensor technologies. The PhD project will lay the foundation for the digital transformation of water infrastructure, enhancing
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resources, and design facilities, supporting AI-powered electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health Management (IVHM) Centre, established in 2008 in
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
technologies tailored to CCUS needs. Accurate knowledge of CO2 streams density is vital across the CCUS chain, impacting engineering design, pipeline safety, reservoir management, and financial settlements
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We are seeking a highly motivated researcher to conduct research in modelling and monitoring forest growth. About the position The projects focus on developing models for forest types and tree