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We are looking to recruit two enthusiastic and motivated Postdoctoral Research Assistants to join the group of Professor Ervin Fodor in the Sir William Dunn School of Pathology at the University of Oxford. The aim of the project is to gain in-depth molecular insights into how influenza viruses...
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group (Central Oxford). The post is funded by ERC and is fixed-term for 1.5 years with a
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Reporting to the Project Co-Lead, Professor Beth Greenhough, the post holder will be responsible for carrying out research contributing the social science dimensions of the three-year MRC funded
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architectures to enable near real-time 3D reconstruction from 2D ultrasound video. The post-holder will contribute to cutting-edge research at the intersection of deep learning, computer vision, and biomedical
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), as well as the Micron imaging facility. This full-time fixed-term post is funded by the Wellcome Trust for up to 3 years in the first instance. The actual starting salary offered will be based
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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in and knowledge of the broad area of soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps, and familiarity with colloid
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi