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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
/InstituteInriaCountryFranceCityVillers lès NancyGeofield Contact City LE CHESNAY CEDEX Website http://www.inria.fr Street Domaine de Voluceau - Rocquencourt Postal Code 78153 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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Contact City Reims Website https://www.univ-reims.fr/p3cell Street 45 rue Cognacq-Jay Postal Code 51092 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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of Pathogens and Host Immunity (LPHI)CountryFranceGeofield Contact City Montpellier Website http://www.umontpellier.fr/ Street 163 rue Auguste Broussonnet Postal Code 34000 STATUS: EXPIRED X (formerly Twitter
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Rue de la HoussinièreGeofield Contact State/Province Draft City NANTES Website http://WWW.UNIV-NANTES.FR Street 1 QUAI DE TOURVILLE, BP 13522, 44035 NANTES CEDEX 01 Postal Code 44100 E-Mail
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Etienne du RouvrayPostal Code76801StreetAvenue de l'UniversitéGeofield Contact State/Province Normandie City Saint Etienne du Rouvray Website https://www.coria.fr/ Street Avenue de l'Université Postal Code
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already have GIS skills and basic level of programming enabling them to quickly learn and adapt new codes. Experience in image and topographic analysis for geomorphologic interpretation needs to be
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
/Province Rhône-Alpes City Grenoble Website http://www.esrf.eu/ Street 71, avenue des Martyrs Postal Code 38000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
across diverse biological systems. More broadly, this work is part of the DynaNova program and the DELTA team, which aim to establish a new paradigm for dynamics-aware modeling of macromolecular systems
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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on a Conventional Imaging System for In Vitro Characterization of Contrast Agents. Sensors 22, 6543. https://doi.org/10.3390/s22176543 Nicolas-Boluda, A., Yang, Z., Guilbert, T., Fouassier, L., Carn, F