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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 6 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09839 Requirements Skills/Qualifications Strong mathematical background. Knowledge in numerical optimization is a plus. Good programming skills in
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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star clusters requires a close connection between detailed numerical simulations and observational data. This PhD project aims to bridge this gap by generating realistic synthetic observations of star
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experimental data will be used to feed into numerical simulations using the Fire Dynamic Simulator (FDS) code, incorporating the kinetic models developed. The overall aim of the work is to gain a better
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afin de simuler des structures tridimensionnelles soumises à des chargements complexes. En parallèle, des approches d'identification et de réduction de modèles assistées par l'IA (réseaux contraints par
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characterization techniques. The second phase will be dedicated to the development of a Multiphysics numerical model, validated and informed by experimental data, to simulate the WAAM process. Strong
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performing numerical simulations using in-house scientific softwares. In-depth knowledge of materials science or crystallography is not required. Website for additional job details https://emploi.cnrs.fr
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study combining Direct Numerical Simulations (DNS) with global stability analysis, providing valuable insight into the instability mechanisms at play. However, such high-fidelity numerical approaches
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: (i) the rarity of extreme events, which renders classical statistics inadequate; (ii) the uncertainty inherent in cascading effects; and (iii) the lack of confrontation between numerical models and
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process techniques for the development of ion channel simulation schemes. Design, program and maintain the code necessary for these simulation models. Run numerical simulations. Provide support for