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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 2 months ago
, further exploring the carbon-related impact of polymer breakdown. The project will also incorporate artificial intelligence (AI) and machine learning to optimise degradation processes and data analysis
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”, at Brunel University London, who must start by 1st October 2025. BCAST is a speciality research centre in metallurgy with a focus on processing of metallic materials for light weighting applications
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process It is anticipated that the selection process will take place on 8th July. This will consist of an interview, test and tour. We plan to let candidates know if they have progressed to the selection
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constraints. The student will then develop concepts of operation for the deployment of aerial assets in support of first responders, including performance benchmarks for range, endurance, payload capacity, and
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intake on the supersonic combustion processes and efficiency. Explore strategies to design the supersonic intake structure to be “self-healing” rather than “self-destructive” Eligibility Students recruited
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exhaustive, and the PhD candidate will be required to undertake such tasks and responsibilities as may reasonably be expected of a PhD candidate. Application process The application should include: a
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the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators
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toolchain to accurately predict chemical reaction barriers without recourse to transition state structures and quantum chemical calculations at the point of prediction. This will enable the development
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four-year full-time PhD structure (three years research + one year writing-up and examination) Start date: September 2025, January 2026. Application process: Rolling admissions—apply early to secure your
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relating to the role ( andrew.dunning@bodleian.ox.ac.uk ). General queries about the recruitment and application process should be directed to the Recruitment team ( recruitment@glam.ox.ac.uk ). Only