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staff members (researchers, engineers, PhD students) and operates several major experimental facilities: LULI2000, Apollon, HERA, XCAN. The PhD student will join LULI's theory team (TIPS) and will work
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
environment for managing large ensembles of numerical simulations, applied to sensitivity analysis [Terraz et al., 2017] and meta-model learning [Meyer et al., 2023]. The Datamove team has also contributed
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17 Jul 2026 Job Information Organisation/Company BRGM Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 16 Aug 2026 - 23:59 (Europe
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
, debris flows, lava, mantle convection, atmospheric and oceanic circulation) plays a central role in understanding climate, natural hazards, and the evolution of terrestrial landscapes. Numerical
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staff of around 120, including 66 permanent staff. It has a strong experimental component, with numerous prototype set-ups supported by both standard equipment and high-tech instrumentation
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processing and statistical analysis. The PhD thesis will be supervised by two supervisors, Corentin Louis (Chargé de Recherche CNRS, Observatoire de Paris) and Baptiste Cecconi (Astronome, Observatoire de
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), and the PhD student will be involved in several collaborative projects. During the second year of the thesis project, the work will be carried out in close collaboration with our colleagues
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intervention to prevent diaphragm atrophy: longitudinal analysis via MRI Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8263-ISAVIV-007/Default.aspx Requirements Research FieldBiological
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to apply Website https://jobaffinity.fr/apply/jvy6902kfcdrbb2ax3 Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Skills/Qualifications • Recent PhD in Earth Sciences with
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analysis, together with technical support and training opportunities. Additional computational resources are available through the Scientific Center for Numerical Modeling (PSMN) at ENS de Lyon, which