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measurements and extraction of complex magnetic permeability (μ) • Magnetic characterization of powders and composites (Hc, Ms) • Cross-analysis of data and correlation with synthesis conditions
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. - Development and improvement of WRF-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the
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and the Epoch of Reionization: extracting an extremely faint signal from data dominated by bright astrophysical foregrounds and complex instrumental effects. The project will build in particular on ML
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characterized by low neuronal redundancy, allowing the functional contribution of individual neurons to complex behaviours to be investigated. In addition, the circuits involved in learning exhibit a high
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regional/international collaborations, and participate in high-level research projects linked to the "PhotoNS" platform ( https://l2cm.univ-lorraine.fr/photons/ ) at the University of Lorraine in Nancy
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The thesis will be conducted within the STORM team at IRIT ( https
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. - Implement 3D imaging techniques (X-ray microtomography) and exploit image segmentation and analysis tools available within the team. - Perform mechanical characterizations at different scales and
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work carefully and persistently on complex and open-ended problems. o Good organizational and collaborative skills. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5263-ANNCAM-088
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leverage and enhance fundamental models and modern methods in theoretical chemistry to better describe the relationships between structure and physicochemical properties for complex architectures
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databases remains largely unexplored and represents a fascinating frontier for molecular computing. The development of new methods will be necessary to enable the manipulation of data within complex