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This project provides comprehensive training in innovative analytical techniques designed to explore fungal contaminants and their toxins in food, making a tangible impact on food safety and public
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machine learning (TML). TML is a cross-disciplinary field that combines machine learning, security/privacy and transparency. As a doctoral researcher your goal is to conduct research in the fast-paced field
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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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. fish) and to people’s wellbeing (e.g. food security), with consequent economic implications. This research aims to explore how projected tipping points in North Atlantic marine ecosystems could influence
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to improve the care of patients with mental health conditions. The doctoral training fellowship is a result of partnership between the University of Bradford, NIHR Yorkshire and Humber Patient Safety Research
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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By
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supervisor in the area of your intended research and secure their support to apply for SGSSS funding. You should then identify which of the six SGSSS ‘challenge pathways’ your project will sit in: 1
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candidate will be required to access data held by the UK Health Security Agency in order to undertake this role. In addition to the standard University pre-employment checks for appointment, the successful
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£100 million. The Department of Naval Architecture, Ocean and Marine Engineering is a world-leader in research in: Ship Design, Stability and Safety, Marine Hydrodynamics, Marine Structures, Ocean
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autonomous vehicles, aerial mobility, and safety-critical infrastructure. Positioning, Navigation, and Timing (PNT) technologies form the backbone of modern mobility and critical services. However, reliance on