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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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: Nonlinear dynamical systems modelling Large-scale simulations and high-performance computing Parallel programming and optimisation techniques These are high-value skills with applications across academia
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device efficiency. There will be an opportunity to learn the tools required for parallel computing using graphical processing units. This will be used to maximise the computational throughput to enable
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. To investigate this, we will follow two parallel and complementary paths: conducting experiments in the laboratory and using powerful computer simulations. This combined approach allows us to see both the big
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. These pollutants have accumulated in soils and vegetation, and remain stored for decades potentially impacting on the food system in the UK. In parallel, current agricultural land management and food production
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) charging of the states occurs at a rate that is much faster than could be achieved if all the states were not coupled, but were charged in parallel. There is intense excitement in such a technology, as it
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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and impacts of UK and Northwestern Europe's atmospheric circulation processes. The results of these models will be compared with parallel experiments carried out using Global Climate Models by the other
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Developing a Developmentally Appropriate AI Chatbot to Support Young People with Inflammatory Bowel Disease Transitioning to Adult Healthcare School of Computer Science PhD Research Project Directly
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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