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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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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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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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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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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
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; - Characterizing blister dimensions using AFM and SEM, as well as the strain transferred to 2D materials using spectroscopy (Raman); - Implementing analytical and numerical (finite-element) approaches to analyze
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dissipation processes driven by waves in the ocean The project involves numerical simulations of various atmospheric and oceanic conditions using large eddy simulations (LES), followed by parameter calibration
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tasks that best suit your strengths. This could involve the design, optimization, and fabrication of advanced devices using numerical methods like FDTD; taking charge of spectroscopic experiments
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the signals indicating transient but slow deformations (slow earthquakes, co- and post-seismic deformations). 1. Use spatial coherence and advanced methods (PCA...) to separate the numerous low