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reconstruction is formalized in mathematical terms as an inverse problem with regularization. In the morpheme group we have proposed model-driven approach (e.g., COL0RME [1]) as well as model-based data-driven
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(QDA) and strengthen quantum technologies research and teaching at The University of Queensland (UQ) within the School of Chemistry and Molecular Biosciences (SCMB) and the School of Mathematics and
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a challenging problem. Candidate profile PhD on optimization and/or image processing. Strong background in applied mathematics, image processing, learning methods and algorithms. Good coding skills
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). Indeed, such approaches have a solid mathematical foundation, are invariant with respect to isometries that naturally appear during the 3D acquisition and are extremely more parsimonious with respect
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, Applied Mathematics, or a related field. Strong foundation in computational modelling & numerical simulations The laboratory The Decision and Bayesian Computation (DBC) – Epiméthée (EPI) laboratory