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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
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, geophysics, or a related field. The candidate must have a strong background in solid mechanics, inverse problems, and wave propagation. Knowledge of poromechanics is preferred but not required. Also of
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algebra, inverse problems, signal processing, and machine learning. The position requires close collaboration with experts in both image processing and imaging physics, as well as with researchers in
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/359285/phd-position-flow-of-multiphase… Requirements Additional Information Website for additional job details https://www.academictransfer.com/359285/ Work Location(s) Number of offers available1Company
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, United States of America [map ] Subject Areas: Bayesian inference; inverse problems Appl Deadline: 2026/01/01 04:59 AM UnitedKingdomTime (posted 2025/10/09 05:00 AM UnitedKingdomTime, listed until 2026/04/10 04:59 AM
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an inclusive community of dedicated problem-solvers who hold themselves – and one another – to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
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28 Feb 2026 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 31 Mar 2026 - 12:00 (UTC
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encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship As part of the Wave Interaction and Propagation Section, you will contribute to consolidating
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expertise in several of the following areas: inverse problems, statistics, optimization, uncertainty quantification, and/or computer vision/machine learning. Strong foundation in at least one of: numerical