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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 4 days ago
model, at the macro-scale, some remarkable collective phenomena appearing in curly hair due to the mixed effects of elasticity/geometry and frictional contact at the fiber scale. This work will take
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
14 Nov 2025 Job Information Organisation/Company Arts et Métiers Institute of Technology (ENSAM) Department Process and Engineering in Mechanics and Materials (PIMM) Research Field Mathematics
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12 Dec 2025 Job Information Organisation/Company CNRS Department Equipes Traitement de l'Information et Systèmes Research Field Engineering Computer science Mathematics Researcher Profile Recognised
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reconditioning are not yet fully defined. This work proposes the application of mathematical optimization strategies for addressing phenomena associated with energy circularity. It leads to including factors
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26 Nov 2025 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
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28 Oct 2025 Job Information Organisation/Company Université Grenoble Alpes Research Field Mathematics » Other Researcher Profile First Stage Researcher (R1) Country France Application Deadline 17
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Operation of a combustion test rig - Implementation of diagnostics - Analysis of combustion dynamics data - Scientific
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions