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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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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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proposes to combine in situ and remote sensing data, radiative transfer models, and chemical and physical analytical methods to better understand the fundamental properties and the impact of mineral dust
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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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essential in numerous everyday applications such as lighting, displays, and detection systems. A current challenge is to develop multifunctional, stimulusresponsive materials capable of meeting various needs
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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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; - 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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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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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