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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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arrhythmias, and 900,000 with heart failure. Medical imaging techniques, such as CT, MRI, and X-ray, are vital for diagnosing and guiding the treatment of cardiovascular diseases. This project aims to develop a
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particularly wide skills training, including organic synthesis, cell biological and medical work. Applicants should thus have a first (or upper second) class degree in chemistry, biochemistry or a related
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person. Aims: The project aims to develop and evaluate AI methods for medical image analysis to detect diabetic retinopathy, glaucoma, cataract and age-related macular degeneration (AMD). As
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industries: in-car systems, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading. This CDT develops researchers with expertise across
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
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devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
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between the labs of Prof. Notingher (expertise in Raman spectroscopy), Dr. Gordon (Optical Fibre Imaging) and Dr Mohammad (snake-like medical robots). For further information: please contact Ioan Notingher
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Cranfield University is excited to invite applications for a PhD studentship focused on developing and validating innovative origami-paper eDNA sensors with community scientists for the rapid detection of chemical and microbial contaminants in rivers. The studentship is funded by the Leverhulme...
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Project advert This studentship offers an exciting opportunity to investigate how physical inactivity contributes to the development of type 2 diabetes and to explore whether simple lifestyle strategies can offset its negative effects on both metabolic and brain vascular health. This PhD...