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, in natural science and/or social science domains. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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techniques—including vision-language architectures (e.g., CLIP, BLIP), fine-tuning large language models for clinical NLP, and self-supervised contrastive learning—the models will learn to effectively combine
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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) Curriculum vitae Short research vision or plan (strongly encouraged, up to 6 pages) PhD diploma Certificates of additional qualifications Contact information for two or more references Via our job portal
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We are seeking a full-time postdoctoral researcher to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and is fixed-term for one year
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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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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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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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handling of anhydrous hydrogen fluoride and the development of physical organic models to assess their reactivity. High level computational techniques will be used to aid understanding. This exciting
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towards ultra-low energy AI, neuromorphic and in-memory computing systems, 6G, and logic systems with unprecedented efficiency and scalability. You will have a strong background and keen interest in