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of physics- informed machine learning and deep learning, with applications to inverse problems in scientific imaging and the modeling of complex physical systems. The overall goal is to integrate the knowledge
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25 Nov 2025 Job Information Organisation/Company LINGNAN UNIVERSITY Research Field Computer science Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Hong
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in data analysis or modeling. Experience with inverse modeling approaches. Required documents: CV with a clause: "I consent to the processing of my personal data contained in my job application for
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
equation and test different gradient descent methods for solving an inverse problem related to full waveform inversion. For a better understanding of the proposed research topic: A state of the art
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-ricerca Website for additional job details https://www.polimi.it/en/bandi-per-contratti-di-ricerca Work Location(s) Number of offers available1Company/InstitutePolitecnico di MilanoCountryItalyGeofield
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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
“VICCO”. The study areas will be selected based on the VICCO centre's focus and guidance from industry partners. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/290702
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? And how much can we trust the reconstruction? Answering these questions requires pushing the limits of numerical analysis and computation for wave equations and inverse problems. As a PhD candidate, you
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19 Dec 2025 Job Information Organisation/Company University of Split, Faculty of civil engineering, architecture and geodesy Department SARLU or Hydrotechnical Engineering Research Field Other
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processing and inversion techniques to experimental data from different regions and link the findings to relevant processes of the soil-plant system. For further information visit our website http://www.fz
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inverse problems. The team aims at developing Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In