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of €25,000 per year for up to four years. The candidate will be supervised by Dr. Nessa Lynch, Matheson Lecturer in Law, Innovation and Technology with co-supervision from the Department of Business
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background in Computer Science, Mathematics. Students with interests in machine learning, deep learning, AI, uncertainty quantification, probabilistic methods are encouraged to apply. For eligible students
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, with a background in Engineering, Mathematics or a related discipline. Depending on experience and academic background, successful candidates should have experience in one or more of the following
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team tackling major challenges facing the world’s population in global sustainability and wellbeing as part of the QUEX Institute. The joint PhD programme provides a fantastic opportunity for the most
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entrants without historical data for their land use technology differently compared to those with established practices? This interdisciplinary project offers the chance to contribute to multiple fields
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science, mechanical engineering or physics. This interdisciplinary project requires a passion for both experimental work and computational modelling, along with a keen interest in learning fracture
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from the Defence Science and Technology Laboratory (Dstl). Award value The Studentship covers: Stipend: at UKRI rate + London Weighting (£22,780 for 2025/26 academic year) Tuition fees: UK Home Fees for
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variety of academic backgrounds, including but not limited to: Computer science (e.g. in AI/ML, systems, HCI, security, privacy) Law (data protection, tech regulation, digital rights) Public policy or other
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Futures, Faculty of Environment, Science and Economy at the Penryn Campus in Cornwall. This project will use a mixed methods approach to assess the short- and long-term activities, outputs, outcomes and
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(contributing approximately 50%), advancements in aircraft technology (30%), and operational improvements (20%) – together supporting the industry's 2050 carbon-neutral growth objectives. Broadly, this project