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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
science as part of the ERC Starting Grant project Incorwave, which aims to develop advanced numerical and mathematical methods for passive seismic imaging. The research will focus on two key-directions: (1
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) and the development of advanced numerical models considering the thermo-mechanical behaviour of structural elements. 1. Applicable Legislation: This tender, open by Decree of 29/12/2025, by the Rector
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research laboratories. ECL’s research activities are directed to and for the business world through numerous industrial contracts. The Ampère-lab is a joint research unit (CNRS, Ecole Centrale de Lyon, INSA
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workflow for the analysis of single-crystal diffuse scattering. In this project, you will have the opportunity to contribute towards reaching this challenging aim. Your tasks include: Deducing numerous
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Digital Twins: You will use numerical tools, including COMSOL and the open-source HemoCell simulation package, to model cell-scale thrombus formation. Experimental Validation: You will not just code; you
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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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the Cybersecurity division where the research focuses on securing the most critical functions of digital society. Through numerous national and European projects, methods are developed for areas such as verification
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information theory and quantum foundations, in particular in quantum phase-space methods. • You have a proven experience in numerical methods and programming, particularly the simulation of PDEs
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context The position is based in the Mechanical Engineering Department and the Roberval Laboratory,within the Numerical methods in mechanics team. The successful candidate will report to the UTC project
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variables, both historic and future, is also an essential ingredient to move past the rear-mirror approach of standard classical forecasting methods. The project will focus on the use of transformer based