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learning offers a promising avenue to accelerate the realistic modeling of atmospheric radiative signals while maintaining physical consistency. In this project, we propose to investigate the synergistic use
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for experiments below the MHz to detect the current fluctuations. We propose for the internship to use our newly developed ultrasensitive TMR-based (Tunnel Magnetoresistance) magnetic field sensor to detect
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optimality and allows influence to be assessed at various stages of optimization. 2. Addressing Computational Challenges** Applying influence functions to deep neural networks presents **computational
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9 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Engineering Computer science Mathematics Researcher Profile First
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intensive research during the last decade, high performances and recyclability are still considered as antagonist properties.2 On-demand catalysis appears as the most suitable technology to overcome
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of IsoPROPEL is to develop fuel cells that utilize the isopropanol/acetone couple for boats navigating European waterways (canals and rivers). The recruited candidate will be affiliated as a PhD student at ENS
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reports and articles -- Giving seminars and presentations The work will be carried out within the SARA team of LAAS-CNRS in Toulouse. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR8001
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machineries implicated in this process, but also identify the cues they respond to in an in vivo context. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7277-FLOBES0-002/Candidater.aspx
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since its discovery 150 years ago, due to a lack of model species 2,3. The candidate will use a combination of genetic tools to identify the molecular machinery responsible for chromosome fragmentation in
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. The institute offers a multidisciplinary environment that bridges fundamental discoveries with applied preclinical research. In partnership with IMATHERA (Preclinical Imaging and Radiotherapy Platform