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and signal processing methods using machine learning techniques to enhance the resilience, efficiency, and security of cell-free massive MIMO systems, which are expected to play a key role in next
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computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with
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an implementation support package Project Supervisors: Dr Sam McLean Prof Beth Fylan Dr Justine Tomlinson Jaspreet Sohal Project Description: This is a fully funded training programme to conduct research
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sponsored by the MTC, any successful candidate would need to pass their security checks prior to the commencement of the PhD. Motivation This project will develop an innovative co-axial water-mist-assisted
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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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Loughborough serve as contrasting case studies, pairing a metropolitan centre with a smaller town to secure transferable findings. The project provides advanced training in spatial analysis, AI methods, and
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PhD in Computer Science: Sustainable AI for Plant Species Recognition in Tropical Forests School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Jefersson Alex dos
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translational research models—SHIELD supports research on therapeutic strategies, novel antimicrobial materials, and experimental models that bridge laboratory discoveries to clinical applications. The program
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a transitional trait that can act as a “safety net” between hybrid formation and genomic stabilisation. The evolutionary implications of apomixis remain unresolved despite its widespread occurrence
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via joint activities with EU and UK cybersecurity hubs, preparing you for careers in trusted electronics, AI security, and national critical infrastructure protection. Graduates from this programme will