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conditions, and at the solid-liquid interface. Funded by the Mission for Transversal and Interdisciplinary Initiatives (MITI) of the CNRS, this PhD project aims to quantitatively characterize photo-excited
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technologies generate large volumes of heterogeneous data and often require advanced technical expertise to operate, configure, and interpret. This PhD project will explore how Large Language Models, Natural
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The phD
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Description This PhD will be co-supervised by: • Sylvain Burri (UMR Traces, Toulouse), • Jérôme Buridant (UMR EDYSAN, Amiens), • Raphaël Lachello (LARHRA UMR5190/GRESEC, Grenoble). It will involve a broader
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), within the ATLAS group. The PhD student will join a large-scale international collaboration and participate in the activities of the ATLAS experiment at CERN. The work will focus on the analysis of data
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punctual mobilities within the partners of the project consortium. The PhD task will be dedicated to the 3D printing of nano-structured polymer materials by photo-Polymerization Induced Microphase Separation
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is an international PhD project
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-performance computing is appreciated. Required degree : • PhD in Fluid Mechanics, Physics, Applied Mathematics, Scientific Computing, or a related field. Application package : • a detailed curriculum vitae and
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public health management. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5175-RAPMAT-008/Default.aspx Requirements Research FieldGeographyEducation LevelPhD or equivalent Research