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/1312.6114 . [5] X. Meng and G. E. Karniadakis, A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems, JCP, 401, 109020 (2020). [6] M
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Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 24 days ago
, Approximation Theory, Machine Learning, Inverse Problems and Regularization Theory. Proficiency in programming with a strong preference for Python and deep learning frameworks such as PyTorch is highly desirable
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27 Feb 2026 Job Information Organisation/Company Ecole Nationale de l'Aviation Civile Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Leading
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21 Feb 2026 Job Information Organisation/Company Université Grenoble Alpes Research Field Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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variability. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data. There is substantial
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27 Jan 2026 Job Information Organisation/Company LINGNAN UNIVERSITY Research Field Computer science Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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7 Mar 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 31 May 2026
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7 Mar 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 31 May 2026
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Kansas. The ideal candidate would have strong technical skills for working with AEM data and models, including physically based forward and inverse modeling of AEM survey responses, and demonstrated
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comparison with analytical modeling and full-wave simulation results. This position is part of the MetaTune Doctoral Network "Reconfigurability using inversely designed metasurfaces", which has been funded