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of Python libraries, building on existing prototypes. Construction of a computer vision pipeline to aid knowledge graph construction. Implementation of a prototype interface, developed with the design team
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About Us The appointee will join the School of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation
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lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP
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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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against existing imaging data. The group’s long-term vision is to impact clinical practice by identifying characteristic manifestations of age, trauma, and disease on the brain’s form and function. You will
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) and tailored testing protocols for improved switching cycles and reliable performance. This project will lay the groundwork for a new paradigm of deployable atomic devices that can be used ubiquitously
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unique device structures, apply thermal imaging techniques for nm-scale devices and access the extensive device testing suite available in Bristol, from advanced electrical, thermal to electric field
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R Holland, a preclinical research group with expertise in primary headache disorders, electrophysiology, disease modelling, behaviour, chemogenetics and in vivo neural imaging technologies
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to magnetic resonance imaging in medicine is a secondary target. Led by Prof. Wiaux, the project is supported by a unique team of international partners: Prof. Pesquet from the Digital Vision Centre