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development for 3D characterization of crystal shapes: - An existing thermal-optical-microscopy stage should be modified/improved allowing observation of the crystals along multiple axes, and thus the 3D
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an emerging and promising class of materials, as the combination of multiple metals within a single nanostructure enables precise tuning and enhancement of their properties. However, mechanical stresses can
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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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. Furthermore, the candidate can also study theoretical properties of the developed algorithms such as their complexity, optimality, and measures such as the regret. These algorithms are expected to be validated