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22 Apr 2026 Job Information Organisation/Company CNRS Department Centre de Recherche sur la Biodiversité et l'Environnement Research Field Biological sciences Environmental science Researcher
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scale hydrological models The project offers the unique opportunity to connect novel processing and inversion techniques to experimental data from different regions and link the findings to relevant
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combined approach using numerical modeling and environmental metrology Key words: simulation, modeling, partial differential equations, hydraulics, inverse problem, sediment transport, peri-urban catchment
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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problem is computationally intractable. This project uses an AI-guided inverse design loop. A goal-directed AI proposes novel GNR architectures, which a fast machine learning model rapidly evaluates
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Looking backwards to go forwards: Systems Engineering Approaches for Inverse Design of Manufacturing Systems Supervised by Rundong Yan, Alistair Speidel, and Rasa Remenyte-Prescott This exciting
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computing environments. Experience with numerical modelling techniques, such as finite difference, finite element, or spectral element methods. Interest in inverse problem formulation and solving and/or
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27 Feb 2026 Job Information Organisation/Company Universitat Politècnica de València Department Nanophotonics Technology Center Research Field Engineering » Communication engineering Physics » Solid
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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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. 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