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Overview: As data becomes more accessible, new challenges arise around how best to use it—especially in complex, multi-system environments like aerospace. Ontologies offer a powerful solution by
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to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a distribution of normal cardiac anatomy and function (including motion) from healthy subjects. By
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the wavelength reaches the mm scale. At lower frequencies it is common to use printed circuit antennas, which can be electronically switched between different radiation patterns and polarizations. Using
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important across different industries. To reduce the carbon footprint of power transformers, a complete life cycle assessment (LCA) including raw materials, design, manufacture, transport, operation
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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about the impact of clear-cuts in boreal forest ecosystems on their total greenhouse gas (GHG) balance, particularly the role of hydrogeological drivers during the early recovery years. This exciting PhD
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performance will be assessed using finite element analysis and experimental work. Additionally, life cycle assessment will be performed to quantify environmental and economic impacts. This project is intended
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We are seeking to recruit a highly motivated Research Assistant to work with a research group based in the Centre of Membrane Proteins and Receptors (COMPARE) within the Division of Pharmacology
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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using activated carbon and ion exchange to remove PFAS from drinking water. As the successful candidate, you'll work in close collaboration with industry experts at Anglian Water and benefit from