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development of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB
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circuits, integrating computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM
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Radboud University Medical Center (Radboudumc) | Nijmegen, Provincie Gelderland | Netherlands | 23 days ago
aptitude for quantitative and technical methods. Experience & competencies Experience with Python and machine learning, preferably applied to medical imaging or computer vision. A critical
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research team. The position is set in the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics" research group in the Leiden Institute for Advanced Computer Science
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, among others, atmosphere/ocean sciences, computational life sciences, mathematical biology, mathematical economics, medical and seismic imaging, theoretical computer science, and theoretical physics