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-destructive, fast, and suitable techniques for qualifying integrated electronic circuits at the end of their first life cycle, in order to facilitate their reuse. 1. Study of the main aging mechanisms and their
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wave enantioselective electron paramagnetic resonance (TWEEPR). The successful candidate will contribute to the development of novel GHz experimental techniques within the Magneto-optics team
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-depth expertise in Computer Vision and Photogrammetry. - Mastery of state-of-the-art Neural Rendering (NeRF, NeuS, SDF). - Knowledge of Photometric Stereo methods. Operational Skills: - Advanced
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of contributions to the international ePIC (electron Proton-Ion Collider experiment) collaboration associated with the construction of the future Electron-Ion Collider (EIC, Brookhaven National Laboratory -BNL, New
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study of interacting electronic models coupled to photons, aiming to both probe and modify electronic properties. Another exciting avenue is the use of cavity coupling to induce effective electron
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support machine learning applications for analyzing electron microscopy images of nanoalloys. Model interactions between nanoalloys and carbon substrates to reflect experimental conditions, incorporating
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for homogeneous photocatalysis. Physico-chemical characterization Structural, optical, and electronic analysis of materials (spectroscopies, microscopies, electrochemistry, etc.) to establish structure–property
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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
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. The position is primarily based in the Electronics team of GREYC in Caen, France (20 permanent researcher and 3 permanent Engineers and Technician). The successful candidate will work within the functional oxide
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, electronic properties, and spectroscopic response. A major component of the project will focus on coupling DFT calculations with machine learning models to accelerate spectral prediction, identify robust