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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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opportunities to validate on real systems across interdisciplinary domains, including medical robots, manufacturing/re-manufacturing automation, and inspection robots. Candidate Requirements: Essential • First
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. Analysis of images will investigate the efficacy of manual digital approaches (e.g., Dot Dot Goose) and the development of a marine litter characterisation and quantification algorithm for automated analysis
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to support a project that aims to create openly available computational tools for automated imaging analysis of neurodevelopmental disorders. Genetic testing has transformed our understanding
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algorithms for data processing, assisted or automated flaw detection, 3D EM solvers, and synthetic aperture radar (SAR) focusing will be used to refine spatial resolution. Applicants should have, or expect
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The emergence of 3D concrete printing (3DCP) is reshaping the future of construction, offering unprecedented design freedom, material efficiency, and automation. Unlike conventional concrete casting
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available computational tools for automated imaging analysis of neurodevelopmental disorders. Genetic testing has transformed our understanding of neurodevelopmental epilepsy. Identification of common genetic
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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automation, and mission-critical communications. A key challenge in cell-free massive MIMO is maintaining high performance under dynamic channel conditions, hardware imperfections, and potential adversarial
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automated feeders), and analyse microbiome composition using 16S rRNA and whole-genome sequencing. Statistical modelling will test for links between microbes and host development and fitness.� PROJECT