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Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in an organized doctoral
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career
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individual with a 1st or a 2:1 degree from Mechanical, Manufacturing, Mechatronics Engineering, Computer Science or other relevant field. The candidate should have excellent analytical and communications
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engineering excellence needed for the aerospace sector. In this PhD, high-fidelity two-phase Computational Fluid Dynamics (CFD) methods will be used to model complex and fundamental cryogenic hydrogen flows
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high 2:1 in computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and
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: Physics / Electrical Engineering Faculty 02: Biology/Chemistry Faculty 03: Mathematics / Computer Science Faculty 07: Business Studies and Economics Faculty 09: Cultural Studies Faculty 10: Linguistics and
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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for candidates passionate about sustainability, plant science, and nature-based engineering innovation. This PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT funded by EPSRC and the
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urban green infrastructure, and shaping future design standards. Ideal for candidates passionate about sustainability, plant science, and nature-based engineering innovation. This PhD studentship is part