586 computer-security "https:" "https:" "https:" "https:" "Keele University" 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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digital product passport solutions. Circularise works with firms across sectors, including battery and energy storage, to enable secure and decentralised data exchange. This collaboration provides
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health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven
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fabrication within engineering cleanrooms, in vitro testing and collaboration with consultant radiologists and surgeons from Gateshead Breast unit to assess device performance and clinical safety. Number
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning
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the average values of the widths and spacings between two adjacent resonances. This energy range is called the “unresolved resonance region” (URR). Current computational methods treat the resonances in the URR
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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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Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
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) and assess emerging governance opportunities and hurdles. England is facing growing challenges in long-term water security, with the Environment Agency predicting huge shortfalls in water supply in
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap