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into the generation process. This multidisciplinary project will deliver deployable models, reproducible methods, and, where allowed, shareable datasets. The student will gain training in deep learning, AI, image
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from video recordings. This studentship would be part-sponsored by an industrial partner, Neurotherapeutics Ltd. Use translational neuroimaging and neurophysiology methods together in a rodent model of
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will be tasked with the development of new models for the early detection of CIN cancers, applying bleeding edge computational methods and machine learning approaches to improve detection and
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models, using NLP-based techniques to provide human-readable explanations of datasets and AI models. Designing for Human-NLP partnership Students will use new human-centred methods to create adaptable
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is often challenging, and noninvasive methods tend to perform poorly. Existing lab techniques typically require invasive sample collection, followed by time-consuming culture and antibiotic resistance
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Methods for Social and Economic Research Why SENSS? SENSS provides fully-funded studentships consisting of tax-free living costs, currently set at £20,780 per year, plus £2,000 London weighting where
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brain decoding methods and test the extent to which these generalise across brain areas and species. You will be working with an interdisciplinary team led by Prof Andrew Jackson funded by the Advanced
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Working knowledge of quantitative analysis and statistical methods Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in
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reaction pathways that are otherwise inaccessible to traditional methods of activation. A precise control of this force can be achieved when the chemical entity that is the subject of the mechanical force (a
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Loughborough serve as contrasting case studies, pairing a metropolitan centre with a smaller town to secure transferable findings. The project provides advanced training in spatial analysis, AI methods, and