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to develop an SDT that simulates real-time system operation in a dynamic virtual environment. Online Implementation: Deploying the SDT on an evolving online platform, continuously updated with new data and
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recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis
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dynamically combine trusted and opportunistic signals. This project aims to develop versatile benchmarks for assured multi-domain PNT systems with advanced integrity frameworks, enabling rigorous evaluation and
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become part of a dynamic academic community, work alongside global experts, and make a meaningful impact on research and society. THE OPPORTUNITY College of Engineering & Computer Science is looking
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. Although there is a clear synergy between fatigue damage and corrosion, most fatigue prognosis models do not explicitly consider the role of the environment, which is usually reduced to obscured fitting
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advanced technology and business needs, creating smart monitoring systems, predictive maintenance solutions, and digital twins that solve pressing challenges across healthcare, energy, aviation, and
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one of the UK’s leading tribology research centres, home to over 50 PhD students working in a highly collaborative, dynamic environment. You’ll benefit from working alongside top academics and fellow
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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to cancer biology, as well as a strong commitment of developing and using new tools to address cutting-edge questions in these fields. This studentship is embedded within the piRNA team, consisting of both
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This 3.5 year PhD project is fully funded for UK students. Your tuition fees will be paid and you will receive a tax free stipend set at the UKRI rate (£20,780 for 2025/26). We expect