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of coronary artery disease and supporting clinical decision-making during catheterization procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop
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related to staff position within a Research Infrastructure? No Offer Description Work Activities Lensless imaging and computational imaging are techniques to reconstruct the shape of an object by measuring
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advancing medical imaging and improving cardiovascular care? Join us in developing a revolutionary multi-aperture ultrasound platform that enables comprehensive 3D imaging and biomechanical assessment
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) technology offer new opportunities to improve the diagnostic quality of chest imaging. With its ability to provide ultra-high-resolution (UHR) images and spectral information, PCCT has the potential to enhance
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– AI-generated text, audio, images, and video. However, given their still developing cognitive skills, they may also be least equipped to deal with synthetic content. This project investigates how
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-inspired computing paradigm with the potential to drastically reduce energy consumption while enabling faster inference than conventional digital architectures. A major challenge, however, is the development
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machine learning and physics to recover nanoscale information from imperfect images? Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these
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requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
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multimodal workflow on integrating hyperspectral imaging, X-ray fluorescence, and RGB images. You will be given ample opportunity to apply for funding and grants in collaboration with Naturalis researchers and
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these operations, and then train transformer models to predict sequences of operations in unseen data. Please see Weindel, Borst, & van Maanen, eLife, 2025, Weindel, van Maanen, & Borst, Imaging Neuroscience, 2024