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CDT in Machine Learning Systems About the CDT Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic
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. The ultimate goal is to create a clinically useful dataset and co-develop interventions to improve care planning and outcomes. Research Approach and Methods: The PhD will employ a mixed-methods approach across
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PhD project: Modelling Reliability and Resilience of Hydrogen Systems for Improved Safety and Sustainability Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
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Project details Flooding is one of the most pressing challenges facing the UK economy. As climate change intensifies, more homes and businesses are at risk, while insurers and banks struggle with
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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modifications affect topoisomerase activity during C. elegans nervous system development. This multidisciplinary project provides advanced training in molecular genetics, genomics, and translational biotechnology
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this project: • Techniques, requirements, and applications of metal additive manufacturing • Analysis of the temperatureevolution, distribution and control in wire based additive manufacturing • Calibration and
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Infrared heating heats people and surfaces directly, without heating the air in between. Thus, it is claimed that radiant heating can provide thermal comfort at lower internal air temperatures