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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
Bayesian statistics, AI-assisted inverse problems, planetary remote sensing, and environmental monitoring. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09787 Requirements Skills
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. Hu, X. Wei, X. Wu, J. Sun, J. Chen, Y. Huang, J. Chen, A deep learning-enhanced framework for multiphysics joint inversion, Geophysics, 88(1), K13-K26, 2023. https://doi.org/10.1190/geo2021-0589.1 [3
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 2 months ago
, as they significantly impact both the performance and accuracy of the overall discretization scheme. Phase 2: learning techniques in wave modeling and inversion To address the inverse problem, we
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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: https://metatune.webs.upv.es/jobs/ (you can also find it at the end of the job description). Where to apply Website https://metatune.webs.upv.es/jobs/ Requirements Research FieldPhysicsEducation
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set according to the Equality Plan of the IAC. Website for additional job details https://www.iac.es/en/employment/iac-postdoctoral-fellowship-solar-espacial-2026 Work Location(s) Number of offers
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these challenges by advancing sensitivity-based modelling, fluid–structure interaction (FSI) methods, inverse problem solving, and surrogate modeling techniques, ultimately enabling predictive, adaptive, and
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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
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research