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ejection fraction and contribute to the assessment of conditions including heart failure and valvular heart disease. At present, cardiac volumes are predominantly assessed using imaging techniques such as
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, biomedical engineering, advanced image processing and machine learning. The studentship suits a candidate with a strong background in optometry, physics, engineering, computer science or a related discipline
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, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how
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PhD Studentship in Cardiovascular Development: “Pharyngeal endoderm transcriptional networks regulating aortic arch artery development and malformation”, funded by the British Heart Foundation
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specifically, the PhD student will examine dynamics of sensory processing with a particular focus on the suppression of sensory input around movement initiation. Projects will involve using physiological
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to the major arteries supplying the heart and body, are poorly understood. This PhD project will investigate how the pharyngeal endoderm, a specialised embryonic tissue, regulates aortic arch artery development
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guardrails inspect everything in plaintext and offer weak formal assurance. This PhD asks how to build AI services that remain useful while enforcing such constraints and protecting sensitive information. Open
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evolution at high temperature. The transition towards smarter, lower-carbon manufacturing demands new ways to understand and monitor how materials evolve during processing. This PhD project addresses a
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Package: Three-year studentship Job category/type: Research Fully Funded PhD Studentship in AI for Early Detection of Neurodevelopmental Disorders (UK Home Applicants Only) Project: Multimodal AI
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to image the centre of live, intact, plant roots. The ability to observe dynamic cellular processes at the centre of a live root for the first time will unlock entirely new lines of biological inquiry