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Field
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concerned with optimal transport for inverse problems. Optimal transport for inverse problems One of the central topics of the research projects is the further development of theory and methods
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Job Description The Entomology Department is looking for a Postdoctoral Associate for the cytogenetic and genomic study of arboviral vector Aedes aegypti. The main objective of these studies is to
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improved performance in tasks of systems analysis like parameter estimation, solving inverse problems, and uncertainty quantification. The successful candidate will join a multi-institution research team
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the core [2-5]. Contrary to the geomagnetic inverse problem for which there exists an intercomparison in the context of the IGRF [6], and to the numerical simulation of the geodynamo for which benchmarks
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About the Atmospheric Research group of the Earth Sciences department Our research group is a nice team of PhD students, postdocs, and academic staff working on greenhouse gases, supporting reactive gases, and aerosols. We develop atmospheric models operating at scales ranging from local,...
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signal processing schemes using machine learning methods and knowledge of inverse scattering methods (nonlinear Fourier transform). About us: AiPT is one of the world’s leading photonics research centres
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computing environments. Interest or experience in machine learning, inverse problems, or AI for scientific data. Strong record of research productivity and ability to work effectively in a collaborative
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to develop specific surrogate models for BUQ. Surrogate models of the underlying PDEs in the Bayesian Inverse problem (or BUQ) are sough, as Physics informed interpolators, multiscale models, PINNs etc
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of Python programming and a deep learning framework, preferably PyTorch. Solid knowledge of image processing, inverse problems, and machine learning. Significant research experience, demonstrated by quality
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. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular concerned with optimal transport for inverse problems. Optimal