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Field
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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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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and corrosion in aqueous CO2-containing environments (such as geothermal systems) is the continuous injection of chemical inhibitors into the process fluid. These inhibitors can function through a
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holder will be required to have practical experience in high-density microelectrode pattern on soft substrates with good understanding of advanced microfabrication processes, electrode substrate
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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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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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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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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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the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators