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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
track record in applied mathematics, scientific computing, and computational mechanics; Proficiency in programming (Python/C++); Solid knowledge of numerical methods. Highly appreciated qualifications
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coordinated by Andra on nuclear waste management. The aim of the study carried out at IJCLab is to develop an innovative method for managing metallic nuclear waste in the form of scrap and powder
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work focused on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and
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structural health monitoring of structures immersed in heavy fluids, by continuing to develop the “Modal Strain Energy” and “Matched Field Processing” methods for detecting and locating a potential defect in
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and computational methods available at IJL, in tight collaboration with industry. The contract is for 18 months. The project is funded by ArcelorMittal Industeel, CEA, and Framatome. Responsibilities
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complex circuits. The team is particularly interested in formal methods and system verification to ensure reliability from the earliest development stages. A major research focus concerns hardware security
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objective is to develop artificial intelligence methods that complement modeling techniques, particularly at the atomic scale, specific to the physical chemistry of materials. In this context
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candidate has experience in coding numerical solutions to partial differential equations via the finite element method / finite differences schemes and programming skills in Mathematica, Matlab, Python
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between research institutes and industry partners, combining experimental and numerical expertise. This position is part of the ANR DYNATERRE project, which focuses on the static and dynamic behavior
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to do a proof of concept by first implementing the gravity anomaly using a boundary element method for homogeneous media (Cayol et al., 1997), before switching to a fictitious domain method for