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différentes échelles à l’aide de méthodes acoustiques : - Caractérisation sur échantillons de matrice crayeuse : 1/ vitesses acoustiques de transmission des ondes P et S du matériau et 2/ porosité du matériau
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. B 106, L161110 (2022). [2] A. Castellano, R. Béjaud, P. Richard, O. Nadeau, C. Duval, G. Geneste, G. Antonius, J. Bouchet, A. Levitt, G. Stoltz, et F. Bottin, Machine learning assisted canonical
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. Contract duration (months) 24 Job description Responsibilities Within a multidisciplinary team combining AI, signal processing and plasma physics, the main responsibilities will be to: Develop and evaluate
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automatique des temps d'arrivée des ondes P et S (PhaseNet - IA), 2/ coupler les pointés à un algorithme de localisation 3D basé sur l'exploitation d'un modèle de subsurface 3D et la prise en compte des
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Postdoc – Advanced characterization of the stability of tandem photovoltaic cells under illumination
partners at the national level. Applicant Profile What you bring to the table : · You have a PhD in Semiconductor physics, image processing, physical measurements · Key technical
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will be able to work effectively in multidisciplinary teams while demonstrating autonomy, strong organizational skills, and a rigorous approach to experimental research involving material processing
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of electrochemical test cells; Definition and implementation of test/validation protocols; Data acquisition and processing; Expertise in transport phenomena in electrochemical cells. • Soft skills