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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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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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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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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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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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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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converting a widespread pollutant, nitrate, to a valuable fertiliser and chemical feedstock, ammonia. Harnessing sunlight as an abundant and sustainable source of energy to drive the upcycling of waste
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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