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, Renewable Energy Systems Technology, Physics, or an appropriate Master’s degree. English language requirements: Applicants must meet the minimum English language requirements . Funding information
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by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI
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real-world impact through science. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link to the event can be found here
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implementing engineering wake models in WRF or similar activities. Production data from simulations will be compared with grid data for validation. She/he will closely work with industry and policy makers
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Surface features are important in additive manufactured parts. While Additive Manufacturing technology has made great strides in the realisation of complex shapes and tailored topologies, it still
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Engineering Applications of Artificial Intelligence Supervisors For more information and informal enquires about the topics listed above contact: Professor Iosif Mporas (i.mporas@herts.ac.uk ) - Director of
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This is an exciting opportunity to undertake industrially linked research with the Laser Processing Group at the Manufacturing Technology Centre (MTC) and the Advanced Materials Research Group
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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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among the world’s top 30 computer science departments. In 2026 QS World University Ranking by Subject, it is ranked 23rd for Computer Science and Information System, and 24th for Data Science and AI