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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential
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modeling of structural variability. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data
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. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to advance inverse modeling for continuous‑ and discrete‑time systems? We
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technical skills for working with AEM data and models, including physically based forward and inverse modeling of AEM survey responses, and demonstrated experience in doing so. This position is based
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the requisite experience. A2 Knowledge of mathematical and statistical methodologies including several of: Statistical modelling and inference, Bayesian statistics and probabilistic modelling, Inverse problems
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particular, we will use topology and shape optimisation methods to compute the optimal domain shapes that can stabilise solutions with desired/prescribed properties. We will use methods from inverse problems
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the person selected will be published on the same website where the offer is published. Website for additional job details https://www.labora.cat/en/ Work Location(s) Number of offers available1Company
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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel