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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical
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, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and
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power consumption. Many emerging biomedical devices, such as non-invasive and indwelling systems, require reliable operation and continuous feedback on biochemical conditions at the device–tissue
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interdisciplinary, and together we contribute to science and society. Your role The Junior Research Group in AI in Biomedical Imaging conducts applied AI research focused on biomedical image computing. Our work
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, Computational Imaging, Computer Science, Data Science, AI/ML, or a related field Experience with CT or MRI imaging, image segmentation, mesh generation, and/or computational geometry for biomedical applications
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About Us The role sits within the School of Biomedical Engineering & Imaging Sciences, and specifically within the MRI Clinical Research Department based at St Thomas’ Hospital. The School
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distribution, compliance, and dynamic airway collapse Coupling airflow simulations to alveolar gas transport, diffusion, and blood-gas barrier transfer processes Integrating imaging-derived features with
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clinical researchers. - Experience with multimodal imaging or integration with other imaging techniques. Application Process: Interested applicants should submit the following: - Cover letter outlining
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the Biomedical Engineering Program, developing courses for the traditional classroom setting, computer labs, and for online education; help setting program goals, developing and continually updating the curriculum