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Development and validation of control strategies for flexible and demand-driven anaerobic digestion School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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. This project will develop responsive manufacturing technology that will have sufficient flexibility to overcome such problems by utilizing intelligent machine learning to control the printing process in real
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‘feed’ on the ECM, by internalising it and degrading it in the lysosomes. We found that this process was required to support cancer cell growth and migration under nutrient starvation conditions (Nazemi
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Ash deposition process modeling for biomass based power plant School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Prof
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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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. The ability to accurately model these molecules using computational chemistry is limited due to a lack of efficient Gaussian basis sets that systematically reduce errors as their size is increased. In
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Collaboration (UKCRC)/ Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the Neurology clinical academic training programme led by the Training Programme
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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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Optimising anaerobic co-digestion: improving the outputs and stability of anaerobic processes School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed