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-vision-based quality inspection in manufacturing plants. The system will enable users to drag and drop foundational AI models to build customized AI pipelines for tasks such as image enhancement, detection
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, 4 direct clinical care, and 1 supporting professional activities. The post holder will be appointed in the Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging
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reduction (MAR) algorithms, AI-based segmentation, and automated 3D anatomical modelling, promise clearer, more reliable imaging. Integrated effectively into clinical workflows, these advances have the
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include academic, clinical and teaching work. BMEIS is a cutting-edge research and teaching division, dedicated to the development, clinical translation, and clinical application of medical imaging and
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division, dedicated to the development, clinical translation, and clinical application of medical imaging and computational modelling technologies. The School is placed within St. Thomas’ Hospital and
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division, dedicated to the development, clinical translation, and clinical application of medical imaging and computational modelling technologies. The School is placed within St. Thomas’ Hospital and
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Assistant/Associate will be to support project aims on a grant programme designed to better understand cell division errors in mammalian oocytes. You will harvest, culture and apply various imaging and
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in relevant research fields Desirable criteria Multi-modal image analysis expertise Real-time detection and segmentation methods for clinical applications Surgical video analysis, e.g. workflow
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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THR demand in younger patients expected to increase fivefold by 2030, revision surgeries will also rise. To improve implant positioning, image-guided navigation is increasingly used in complex THR