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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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. The doctoral research is part of the TIRIS Scalingup Microcoredeal project, which aims to develop micro-models with a focus on designing and fabricating models that bridge the gap between laboratory settings and
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-state NMR probes, providing an exceptional environment for methodological developments and high-resolution structural studies. The Solid-State NMR Group at the Institute of Chemistry and Biology of
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to develop a protein purification facility. The IBGC operates under the supervision of the CNRS (INSB) and the University of Bordeaux. Its activities are dedicated to fundamental research in biology. The unit
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fibers and fiber-fiber bonds within the reconstructed 3D images as well as 3D kinematical fields (Digital Volume Correlation). • A digital twin of the tested fiber mats will be developed using the Multi
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catalytic materials based on low-melting-point metals, developed within the framework of the ANR-funded LIZA project (Liquid Metals for Stable Zeolite Catalysis). The candidate will employ the advanced
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axial conductivity of the plasma, increasing the electric field and the electron-impact ionization (see Fig. 1 for a sketch of the thrusters studied at LPP). This project will be developed in the frame
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for the study and publication of the ceramic assemblages recovered from the excavations and surveys carried out as part of the IKAP project. He or she will develop a reference corpus based on the project's
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ELiA (Engineering for Life Sciences and Applications) research team at LAAS-CNRS, which specializes in the development of microphysiological systems, microfluidics, hydrogel photopatterning, and the
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involve selecting various event topologies to constrain background and perform detailed study of double-beta decays. GEANT4-based simulations will be used with the software FALAISE developed by SuperNEMO