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Field
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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? Mechanical seals are critical components in high-pressure storage solutions for hydrogen and carbon capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational
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. Background Sub-Saharan Africa is experiencing temperature increases at a rate faster than the global average. Children are particularly vulnerable to extreme heat, yet there is limited empirical research
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/or increase in efficiency. Additive manufacturing (AM) could help increase the efficiency of the GTs by enabling complex designs. AM has been used for static GT components, however the use for high
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transport, high-performance mechanical seals are essential. These seals prevent gas leakage by maintaining a sub-micron-thin layer of hydrogen between a rotating ceramic face and a stationary face. The
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Supervisors: Professor Sir Steve Jackson and Dr Mark O'Connor (AZ Partner) Course start date: 1st October 2026 Project details Targeted Alpha Therapy (TAT) selectively delivers high Linear Energy
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and develop an improved design and maintenance framework for long-term performance and climate resilience. The project will assess the influence of various slope drainage systems on pore pressures