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Conventional x-ray imaging is firmly established as an invaluable tool in medicine, security, research and manufacturing. However, conventional methods extract only a fraction of the sample
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these interference patterns, combined with inverse scattering techniques, to reconstruct the imaged sample with high fidelity. We look for a PhD student with interdisciplinary skills in optics, instrumentation and
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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requires detailed imaging, beyond what is currently possible in humans in vivo. In this NWO-funded Vici project, we will leverage Ultra-High Field MRI (7T) with recent advances in MRI hardware, acquisition
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of Biostatistics at Brown University is seeking a highly motivated individual for a postdoctoral research associate position interested in developing statistical methods for modeling medical imaging data
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these difficulties. The Euclid space mission is already a game changer. Thanks to its large field of view and excellent image quality, it can clearly identify large populations of dwarf galaxies, as
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develops innovative strategies to improve both lateral and axial resolution, as well as to enable imaging of complex biological samples (e.g. organoids) deep inside tissues. This PhD project proposes a
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scheduling and patient flow for interdepartmental procedures. Supervises as well as performs diagnostic imaging studies under the direction/supervision of a radiologist. Assist radiologists and PhD's in
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project alongside 14 other PhD. students, all pushing the boundaries of quantitative imaging in plants. The ideal candidate profile: Must-have: MSc or equivalent degree (preferably in Life Sciences) Strong
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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory and application of temporal reasoning and ultrasound video analysis from