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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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from multiple sources to estimate air quality, along with associated measures of uncertainty. Some traditional models can be relatively restrictive in nature and lack capabilities to deal with large
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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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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
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, you’ll be developing innovations critical to a greener, more sustainable future. In hydrogen storage and transport, high-performance mechanical seals are essential. These seals prevent gas leakage by
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Computational verification of high-speed multi-material flows, where physical experimentation is highly limited, is seen as critical by the defence Sector (source: the UK Atomic Weapons
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times. Lithium-ion batteries due to their high energy density, long lifetime, fast charging, wide operating temperature, and light weight, are the most common choice for the energy storage system (ESS
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for Postdoctoral Researchers/Research Fellows in the following areas: Areas of interest: Privacy and Compliance, User Experience; Computational Data Science and Applications; High-performance, Energy-efficient