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from a privileged access to primary patient samples and a large variety of institutional core facilities, including a fully equipped animal facility, a flow cytometry facility, a sequencing facility, and
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efficient, metal-free OTFT source and drain electrodes capable of 10,000 ON/OFF cycles in air, with no contact resistance and stability under electric field. The methodology includes alignment of doped PSCs
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and SQUID), EEG and Eye Tracker data. - Analysis of the data collected, especially MEEG and behaviorals. - Compare the alignment between MEEG data, behavioral data, and acustic and semantic models
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azasilacycles into versatile platforms for molecules of interest in biology. 3.Activities Description of the research activities : Using domino sequences, we aim to exploit the unique reactivity of silicon and
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: The learned models are opaque and do not come with formal guarantees. It is not possible to prove that the model will consistently respect fundamental constraints of the real world or be aligned with expected
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trigger reconstruction architectures for future particle collider experiments, based on deep learning models distributed across multiple hardware processing stages. The mission of this position, based
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multiple frequent commuter train lines. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8089-ANAMAI-003/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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students, and pioneer independent research aligned with project goals. - Opportunities for fieldwork or cruises await! CEREGE (Centre de Recherche et d'Enseignement de Géosciences de l'Environnement ) is
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can we ensure that space emerges as a common good, in the economic and legal sense, in the face of, on the one hand, the multiplication of private uses of space and, on the other, the ambitions
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the identification of clay mineral assemblages and their evolution within the studied sedimentary sequences. The new records produced will be compared with the evolution of carbonate producers, especially microbial