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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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seamlessly integrated into visualisation environments. It is essential that you hold a Bachelor’s degree in a relevant discipline (e.g. Computer Science, Bioinformatics, Data Engineering, Biomedical Sciences
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We are looking for an enthusiastic image analyst with suitable technical expertise to support an exciting research programme focused on the development and validation of novel technologies
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biomedical image analysis or computational psychology. You will have proven experience in stochastic analysis and neural differential equations and with the development of stable diffusion models. Post
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strong upper second-class undergraduate degree in Chemistry, Physics, or a related discipline such as Mathematics or Computer Science, are encouraged to apply. The candidate is expected to have a strong
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systems that model cardiac physiology, disease and regeneration. It brings together expertise in stem cell and developmental biology, tissue engineering, imaging and computational analysis to accelerate
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degree in neuroscience, data science, computer science, or engineering is desirable. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering
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Are you passionate about pioneering neurotechnology to transform lives affected by chronic pain? Join the University of Oxford’s EPIONE programme, a six-year EPSRC-funded initiative that brings
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential
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physiological processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We