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Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 30 Jun 2026 - 12:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Offer
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3 Sep 2025 Job Information Organisation/Company Université de Caen Normandie Research Field Geography Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country France
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2 Sep 2025 Job Information Organisation/Company Ecole Centrale de Lyon Research Field Engineering Physics Mathematics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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2 Sep 2025 Job Information Organisation/Company Ecole Centrale de Lyon Research Field Engineering Physics Mathematics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
. Within the scope of the PEPR PlantAgroEco project, this 18m postdoc will focus on providing novel reinforcement learning strategies in order to improve the collaborative annotation process of the \href
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is positioned for skin wound repair, as demonstrated by our first in vivo proof of concept. To propel our invention into the wound care market, the project seeks to demonstrate the universality
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strategies. ● Participate in strategic planning and business development activities. ERC Proof of Concept Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6174-DANBRU-021/Candidater.aspx
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to do a proof of concept by first implementing the gravity anomaly using a boundary element method for homogeneous media (Cayol et al., 1997), before switching to a fictitious domain method for
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3 Sep 2025 Job Information Organisation/Company Université Bourgogne Europe Department Biology Research Field Geosciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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using image analysis software already available at the LCTS. This will generate two types of computational domains: (i) porosity-calibrated images (i.e., images whose gray levels correspond to the local