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biodiversity. 2. Develop a conceptual and/or methodological framework, grounded in existing literature, to empirically test the impact of species (or groups of species) on ecosystem functioning. 3. Test the
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Sciences, CEA Saclay), the NRX Nanostructures and X-Rays Team at CEA Grenoble, the University of Lorraine, CentraleSupélec, and the European Synchrotron (ESRF). It is jointly supervised by: · Aurore
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joint research unit of Côte d’Azur University, Côte d’Azur Observatory and CNRS (the French Centre National de la Recherche Scientifique). It has teams in Galaxies and Cosmology (G&C), Instrumental
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preparation to conduct the experiments (lamination by thermocompression, …) by working closely on an internal Lab-platform. The postdoctoral fellow will develop her/his activity at the LAPLACE Institute, within
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(Fractionnement des AgroRessources et Environnement) research unit (https://www6.nancy.inra.fr/fare/ ) on a project funded by the International Institute for Bioeconomy and Environment EXEBIO at the University
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research and high-level teaching have enabled it to establish double degree agreements with prestigious universities and advanced partnerships with numerous companies. With its focus on sobriety, energy, the
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research and high-level teaching have enabled it to establish double degree agreements with prestigious universities and advanced partnerships with numerous companies. With its focus on sobriety, energy, the
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obtained by MOCVD deposition. A PhD student at LMGP is currently developing and optimizing the operating conditions to control nanowire geometry, network density and connectivity, and coverage. The recruited
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to efficiently identify materials with optimal mechanical properties and controlled degradability. The primary task is to develop techniques for synthesizing degradable polymers and copolymers using ring-opening
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 24 days ago
precision and treatment decisions. Within a collaborative project involving researchers, clinicians, and industry partners, the team has developed innovative deep learning–based segmentation methods and built