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of observation, both in terms of acquisition speed and imaging depth, with applications ranging from biology to the study of nanomaterials. These developments sit at the crossroads of multiple disciplines
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trigger reconstruction architectures for future particle collider experiments, based on deep learning models distributed across multiple hardware processing stages. The mission of this position, based
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the reproducibility and robustness of quantitative MRI maps across multiple clinical MRI platforms (1.5 T and 3.0 T – Siemens, GE, Philips) using test objects (phantoms). - Coordinate MRI acquisitions on a cohort of
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