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model due to the mathematical challenge of solving the multiple partial differential equations simultaneously. With the support of the combined sponsorship from the university and industrial partner
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Working as PhD students within the project framework and under the supervision of the project PI, Prof. Raul Cârstocea, the successful candidate(s) will develop an original research project that aligns with
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analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
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multiple public services, including health, education, housing social care and criminal justice. Using linked administrative datasets, the research will explore new approaches to identify patterns of cross
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functioning [1]. Building on these insights, you will compile and standardise datasets of collective movement and collect new data from multiple species of freshwater fish. From these data, you will identify
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leader in hydrogen-powered aviation technologies. Hydrogen-based aviation offers a revolutionary opportunity to significantly reduce aviation’s carbon footprint, aligning with global commitments to reach
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expertise and facilities in the area of propulsion system aerodynamics. The industrial sponsor, Rolls-Royce, is committed to net zero aviation by 2050 and this project aligns with the strategic interests in
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small number of crops, undermines the sustainability and resilience of land use. However, we do not have a good understanding of how land could be used for multiple purposes whilst being sustainable and
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the detection of real versus AI videos. The focus has been from single disciplines (e.g., Masood et al., 2022), and typically technical in nature. By drawing on multiple modalities within video (i.e., visual
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recovery. Through real-world testing and industry-aligned development cycles, students gain practical experience in resilience modelling, embedded AI diagnostics, and autonomous recovery protocols