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Field
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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. The enhanced image quality will support earlier and more reliable detection of eye diseases. Combining artificial intelligence with mathematical modelling, this non-invasive, cost-effective approach has
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will lead the development of novel motor topologies optimised for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working
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considering a PhD or Clinical Doctorate, and many of our previous RAs have gone on to undertake these roles. The post holders will be based at Nottingham University and hold Honorary contracts with
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performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
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strategies for robust statistical models. The project’s scope will be tailored to the candidate’s expertise, offering opportunities for innovation and impact. The successful applicant will join a dynamic
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). Access to cutting-edge facilities, including advanced microscopy, controlled environment growth rooms, genomics, proteomics, and metabolomics platforms. Opportunities to work across model and crop species
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machine structures, together with AI-driven optimization frameworks for diverse applications while considering LCA metrics. The success of this project could serve as a model for other energy-related
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intelligence, multi-agent systems, and the design of AI models. They will also acquire transferable skills in interdisciplinary problem-solving and innovation, which will significantly enhance
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the word count on page 1 of the document. A copy of your Bachelor's and Master's academic transcript and certificate. If your Master's degree is pending, please provide an interim transcript. An up-to-date