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, including teeth grinding and normal everyday movements, ensuring the accuracy and reliability of the collected data. Developing, training, and validating state-of-the-art machine learning algorithms
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demonstrated in several case studies in regenerative and climate-smart agriculture, aiming to promote regenerative practices while reducing greenhouse gas emissions. The case studies will be developed in
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interact with the world around us. However, the power requirements and carbon emissions of AI are equally dramatic: training a single state of the art algorithm has the same carbon footprint as the lifecycle
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. Development. 2025 Jun 15;152(12):dev204518. https://doi.org/10.1242/dev.204518 2. Strawbridge SE, Kurowski A, Corujo-Simon E, Fletcher AN, Nichols J, Fletcher AG. insideOutside: an accessible algorithm
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hardening of the skin, which can also affect a person’s internal organs and blood vessels. 1 in 10 people with SSc will develop a complication with the blood vessels in their lungs, called Pulmonary Arterial
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treatment window may already have passed. Project Aim: This project proposes the development of an innovative approach that applies computer vision and machine learning to detect early signs of stroke through
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inside densely packed biofilms and to characterise the stimuli they encounter. To overcome this, our lab has developed powerful techniques to “see inside” biofilms. Using microfluidic devices and advanced
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Overview RAPID Structures is an EPSRC-funded research project focused on developing novel digital design tools to create more material-efficient buildings and structures. The goal is to
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project team regularly use for the production of model colloidal films, ceramic dielectrics, photovoltaics and battery electrodes to provide the datasets required to educate the machine learning algorithms
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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and