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of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
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Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
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Particle size distribution in flue gases for carbon capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin
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, high-speed parallel processing of powdered feedstock benefits from precise control over material microstructure and offers improved part functionality in a wide range of applications. Students will have
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Neuro-Symbolic Methods for Explanation-Based Reasoning with Large Language Models
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Interplay between Algorithms and Combinatorics
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Developing a Developmentally Appropriate AI Chatbot to Support Young People with Inflammatory Bowel Disease Transitioning to Adult Healthcare
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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particulate materials Design and help instrument sensors based on these models to measure particle properties, such as the particle size distribution. Balancing experimental needs, such as bandwidth
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Neutron total scattering (Pair Distribution Function analysis), as well as scanning and transmission electron microscopy (SEM & TEM). Main duties and responsibilities Undertake the programme of work and