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are required for applications such as in energy storage. The participating research groups have experience in thermal processes, laser imaging techniques and novel materials synthesis and the successful
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Deadline: 27th February 2026 One fully funded, full-time PhD position to work with Dr. Eleonora D’Arnese at the School of Informatics, University of Edinburgh. The aim of this project is to develop
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The PhD studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative
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pioneering translational machine learning neuroimaging project with a broader interest linking imaging characteristics to molecular biology and neurodevelopmental symptoms. The project is a 3 year position
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project with a broader interest linking imaging characteristics to molecular biology and neurodevelopmental symptoms. The project is a 3 year position supported by the Rosetrees Trust, and we would support
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ophthalmology clinic. This produces over a billion retina images every year. However, about 50% of diabetic adults do not receive this recommended annual screening, and lower-middle income countries, have below
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Fixed-term: The funds for this post are available for 3.5 years in the first instance. Dive into the future of visual technology with a studentship at the forefront of modern imaging science, where
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long non-coding (nc) RNA molecules produced from eukaryotic genomes in addition to protein-coding mRNA. Mutations in non-coding regions of the genome and altered expression of ncRNAs underpins a number
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are seeking a Ph.D. student to join our multidisciplinary team developing a radical solution for better detection and treatment that uses ultra-thin snake-like robots and advanced optical imaging techniques
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to the controls (Mason et al., 2023 Communications Biology). In this project, we aim to further optimise our OCE imaging platform and apply new methods (e.g. Quantitative Phase Imaging (QPI)) to expand