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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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. 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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set according to the Equality Plan of the IAC. Website for additional job details https://www.iac.es/en/employment/iac-postdoctoral-fellowship-solar-espacial-2026 Work Location(s) Number of offers
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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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Additional Information Website for additional job details https://gfz.concludis.de/prj/shw/2190834cf569ffab46854f84b2124104_0/11161/Wisse… Work Location(s) Number of offers available1Company/InstituteGFZ
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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 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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, 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
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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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background in wave optics, Fourier optics, and inverse problems, including experience with linear and nonlinear reconstruction methods (e.g., Born/Rytov approximations, multislice or multiple-scattering models