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27 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Mathematics History » History of science Researcher Profile Recognised Researcher (R2) Country France Application Deadline 16 Sep 2025 - 23:59 (UTC) Type of...
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29 Aug 2025 Job Information Organisation/Company CNRS Department Chimie et Biologie des Membranes et des Nanoobjets Research Field Physics Researcher Profile Recognised Researcher (R2) Country France Application Deadline 18 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Position in Bioorganic Chemistry / Chemical Biology
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postdoctoral project will focus on quantifying the kinetics of cooling rates and the microtextural maturation of plutonic rocks related to slow cooling. The main tools will be those of diffusion chronometry (e.g
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, including basic processing of photoemission data, as well as more advanced processing for HAXPES data or photoemission imaging. *Participate in measurements at large-scale facilities such as synchrotrons
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We invite applications for a Postdoctoral Researcher to join an innovative project
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, France, is seeking to appoint a postdoctoral researcher in the volcanology group. The successful candidate will work in collaboration with geophysicists (Valerie Cayol, Anne Barnoud and Lydie Gailler) and
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QDLight, and as part of the European project EPIQUE. The postdoctoral researcher will contribute to this effort by implementing advanced excitation protocols for quantum dots. These protocols aim to achieve
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speeds and reduced energy consumption, contributing to more energy-efficient devices for image, sound, and biomarker recognition. The consortium brings together seven partners, including the CNRS (MAJULAB
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copolymers, which will then be evaluated for their degradability and mechanical properties. Using active learning, a branch of AI, the research will be guided through the large parameter space of copolymers