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Vacancies Postdoc position on reinforcement learning on real-time image/video processing for medical robot Key takeaways In this role, you will be responsible of developing cutting-edge deep
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Barcelona is seeking a highly motivated Computer Engineer to join our team and contribute to the development of a cutting-edge federated analysis infrastructure for the European repository of cancer imaging
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Position Overview School / Campus / College: School of Medicine Organization: Radiology Title: Postdoctoral Scholar, Department of Radiology, Diagnostic Imaging Sciences Center (DISC) Position
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The X-ray Imaging Group (IMG) of the Advanced Photon Source (APS) is seeking a postdoctoral researcher with expertise in computational science and image processing to develop innovative methods
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Title: Postdoctoral researcher in computational imaging, via applications in astronomy and medicine. Grade and Salary: Grade 7 (£37,694 - £46,049) FTE and working pattern: Full-time (35 hours per
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Position Overview School / Campus / College: College of the Environment Organization: Applied Physics Lab Title: Postdoctoral Scholar in advanced ultrasound methods for both cardiovascular imaging
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Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
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expertise in plant sciences, optical technologies, and data processing. The existing imaging Mueller polarimeter, which is sensitive to the microstructural properties of biological tissues, will serve as the
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Background Radiology has taken a central role in the diagnosis and management of brain diseases. In the present project, we work of next generation AI models to extend the molecular imaging capacity
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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