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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you building the next generation optical coherence
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models (CNNs, Transformers, GANs) for PET and CT dose reduction - Work with raw PET/CT data, projection data, and reconstructed images - Perform quantitative image evaluation and clinical validation
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Join the IMAGINE open innovation lab community to accelerate innovation. As a researcher you will: Design and conduct research on metabolic MR imaging technologies, focusing on improving quality
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background in Earth Sciences or another appropriate field. You will work on the project “Nanoscale Rock Magnetism and Magnetic Imaging”. Your job This study is part of the ERC Consolidator project SPARK, which
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Description In this project, you will contribute to the development of a multimodal preclinical imaging platform, which you will then apply longitudinally to study skeletal muscle changes in a mouse model of
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Effective cancer management requires precise imaging, but current
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Magnetic Resonance Imaging (MRI) is
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. Conventional experimental techniques such as dilatometry, optical and electron microscopy, electron backscatter diffraction and x-ray diffraction with Rietveld refinement are available at the lab and can be used
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professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The following mathematical disciplines
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simulation framework for paired visible-light and X-ray images of fruit and developing methods for fast 3D shape modelling of fruits, correcting X-ray images for object thickness, and estimating physiological