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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 24 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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, applied mathematics or a related discipline, and a specialization in machine learning, uncertainty quantification, optimization or related fields. Expected skills Proficiency in Matlab/Python/Julia Oral
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2 Mar 2026 Job Information Organisation/Company Ecole Centrale de Lyon Research Field Mathematics Engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application
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, optimal perturbations, resolvent methods) of Görtler vortices, identifying dominant modes and regions amenable to control. -Objective 2: Reduced-order modelling via autoencoders and discovery of explicit
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innovative projects that have a major impact on society. Context and contributions of the position: Understanding subsurface fluid flow is crucial for optimizing geothermal systems and mitigating risks such as
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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for the design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https://www.pepr-diadem.fr/ Where to apply E-mail mohamed.jebahi@ensam.eu Requirements
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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for the design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https://www.pepr-diadem.fr/ Where to apply E-mail Mohamed.JEBAHI@ensam.eu Requirements