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1 Apr 2026 Job Information Organisation/Company INRIA Department Centre de Recherche INRIA Saclay - Île-de-France Research Field Mathematics » Applied mathematics Researcher Profile First Stage
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PRIME (Projet de recherche inter-instituts multi-équipes) interdisciplinary CNRS programme (http://www.cnrs.fr/mi ). The PhD candidate will be co-supervised by Florence Niedergang (Team « Biology of
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maintaining national networks of geophysical instruments, and by operating a data center. The thesis will be conducted within the Waves and Structure Team, under the supervision of Nikolai Shapiro and Laurent
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at the Ecole polytechnique research centre working on the frontier of knowledge on the major interdisciplinary scientific, technological and societal issues. Within the Teaching and Research Department of Ecole
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Systems Biomedicine (LCSB
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Laplace (IPSL) in the heart of Paris. In the context of the climate crisis, carbon dioxide removal (CDR) approaches and climate interventions are receiving increasing attention. Ocean Alkalinity Enhancement
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Number NS26-ILL25 Is the Job related to staff position within a Research Infrastructure? No Offer Description The European Synchrotron, the ESRF, is an international research centre based in Grenoble
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): Geosciences Host Institution (full legal name): GFZ Helmholtz Centre for Geosciences Department / Research Group: Geoenergy / Experimental Rock Physics and High-Temperature Reservoir Processes Country: Germany
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
Traitement du Signal et des Images, 2023. Douté, S., Forbes, F., Borkowski, S., Meyer, L., Heidmann, S., 2024. Massive analysis of multi-angular images by inverse regression of reflectance models