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detection of chemical and microbial contaminants in rivers. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme, which is supporting new research
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diagnostics, novel thermodynamic cycle performance, etc., which have been built up over the last half century. This provides a unique capability to assist researchers and engineers in new power plant designs
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This funded PhD studentship is an exciting opportunity to conduct new social-ecological research on perceptions of urban blue space. Despite often appearing to be natural systems, urban blue space
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. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
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. This research addresses urgent global needs in mobility, sustainability, and safety-critical aviation operations. This project aims to design beamforming antenna enabling tracking and positioning framework
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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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LEO, MEO, and GEO constellations), and complementary on-board sensors. Research will investigate algorithms for robust multi-sensor fusion and positioning assurance. A strong emphasis will be placed
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research centres. It is anticipated that the new materials’ understanding and the model generated within the project will enable a faster uptake of AM materials for rotating components and help
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The rapid proliferation of AI-generated synthetic media, including deepfakes and AI-assisted phishing, presents a critical and evolving challenge to enterprise cybersecurity. These threats erode
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems