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Description of the offer : The main objective of this PhD thesis is to unravel the microscopic mechanisms by which the hydrogen affects the properties of intermetallic magnets. To achieve this goal
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 1 month ago
analysis. Objective The goal of this PhD is to formally verify the memory safety of Linux kernel drivers. The project will focus on driver interactions with the kernel, including the direct use of kernel
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the end of the Holocene to 2100. The PhD student will be enrolled at the University of Montpellier. The project seeks to understand how changes in vegetation composition have affected the flammability
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permanent researchers and lecturers, is a pioneer in thermal AFM microscopy at European and world level. The PhD work will be carried out in the framework of the ANR ANTICHI project, which brings together
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of Europe in the 20th and 21st centuries. It serves as a catalyst for innovative and creative scholarship and new forms of public dissemination. Your role Conduct a PhD Thesis Contribute to our dedicated
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30 Aug 2025 Job Information Organisation/Company CNRS Department Institut de Chimie de la Matière Condensée de Bordeaux Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 19 Sep 2025 - 23:59 (UTC) Type of...
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27 Aug 2025 Job Information Organisation/Company CNRS Department Institut d'Electronique et des Systèmes Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 16 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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research laboratory of the CNRS and Aix-Marseille University, with around 180 researchers, engineers and PhD students. The laboratory studies subjects ranging from particle physics to astroparticle physics
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algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
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for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as