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early detection and predict adverse pregnancy outcomes. You will develop and validate a data-driven clinical decision support tool in collaboration with clinicians and industry partners. Pre-eclampsia is
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develop advanced skills in qualitative research, stakeholder engagement, and knowledge exchange, alongside being supported to publish in leading journals and present at conferences. You will also benefit
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such as virtual reality are being used to increase motivation and adherence to exercise programmes without the need for in person contact. This work builds on our existing co-development and implementation
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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, you will develop and deliver an independent research project exploring ethical issues at the intersection of global health and infectious disease. The role-holder will contribute to collaborative
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Sciences Institute (PSI), part of the Nuffield Department of Medicine. Reporting to Dr Tess Johnson and working closely with the Ethics, Policy and Context Theme, you will develop and deliver an independent
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. This PhD project aims to develop efficient, reasoning-enhanced Vision–Language Models tailored to multimodal medical data. The main aim is to investigate how explicit clinical reasoning can be embedded
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Turbulence detection in blood flow using 4D MRI Flow disturbances in blood flow are vital sign of cardiovascular diseases, suggesting a development of turbulent flow due to abnormal heart movement
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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understanding and development of innovation in the areas of music and performing arts, visual arts, digital arts, and cultural heritage. The successful candidate will undertake original research analysing