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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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providing world-class professional development and networking opportunities that strengthen both research outcomes and student success. The Applied Informatics group is part of the School of Computing
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: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Computer Science, Engineering, or an appropriate Master’s degree with good programming skills
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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of Computing, Engineering and the Built Environment , the largest of the five schools at Edinburgh Napier University. With a practical focus on adding value to the social, cultural, and economic capital of
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engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
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industries: in-car systems, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading. This CDT develops researchers with expertise across
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experience to become a rounded scholar: £20,780 annual maintenance grant* Full coverage of PhD programme fees Higher Education (HE) teacher training and practice. This means that as well as pursuing your PhD
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models such as Random Forest and Neural Networks to help understand and predict pairwise interactions between pollinators and plant species. - Software Engineering: integrate models into a standalone
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completion of a 1st Class Master's in Chemistry, Chemical Engineering, or a related field. A background in flow chemistry (and/or high-throughput experimentation), as well as proficiency in programming