274 security-"https:" "https:" "https:" "https:" "UCL" PhD positions in United Kingdom
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, crucial for areas such as sustainable agriculture and food security. Such an imaging system would allow for studies of a plant’s resilience to drought, salinity, and water logging, as well as responses
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of the Ministry of Defence whose goal is to maximise the impact of science and technology for the defence and security of the UK. The project will involve working in collaboration with expert DSTL scientists, with
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Baseline Personnel Security Standard (BPSS) clearance. Funding Sponsored by EPSRC and Cranfield University, this studentship will provide a bursary of up to £25,805 (tax free) plus fees* for four years
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
energy systems. The global focus on safety, predictive maintenance, and lifecycle cost reduction. The rising availability of high-fidelity NDT data and accessible machine learning tools. In summary
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global policy crisis in which environmental, economic and national security challenges intersect and amplify one another. It is therefore increasingly necessary to investigate how the different constituent
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the auspices of the Horizon Europe Marie Skłodowska‑Curie Doctoral Networks. The Principal Investigator at Birmingham University is Prof Chris Thornhill (Law). This post is focused on the analysis of Security
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safety risks (toxic radioactive WO3 formation as an example). Therefore, separate effects study and combined synergistic studies are essential to map PFC performance and generate robust engineering
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-free annual stipend of £25,000, full-time home tuition fees paid, and £2,000 per year for consumables and travel. Funding from MTC requires passing their security checks before starting the PhD. As part
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; Participate in and develop external networks, for example, to contribute to student recruitment, secure student placements, facilitate outreach work, generate income, obtain consultancy projects, or build
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The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air