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matter and information for life. Artificial vascular networks have mimicked this strategy, without reproducing the same level of autonomy and adaptability. In the most adaptable organisms, the vascular
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communications. The team specializes in multi-sensor methods, tensor decompositions and component analysis for the joint processing of multimodal data, notably in the context of invasive (intracardiac electrograms
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be to dissect the mechanisms underlying the compartment-specific recruitment of mRNAs along axons. First, the student will dissect the contribution of activity cues. Through artificial inactivation
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mechanical motion into electricity; - An intelligent electronic control system, enabling optimized regulation of the thermodynamic cycle. Within the CALIFORCE3 framework, the REMLA system will be integrated
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should have a master degree or equivalent, with a strong background in solid-state physics and optics. The candidate should have a strong taste for experimental research. Good communication skills in
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significant part of the project will be dedicated to the analysis of the complex electrophysiological data. This analysis will be carried out in close collaboration with computational neuroscientists. Although
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stations for large-scale bioinformatic analysis, a cryo-EM microscope recently installed at the institute, as well as privileged access to state-of-the-art infrastructures: cryo-EM Titan Krios (ESRF
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correlations between active galactic nuclei, especially blazars, and neutrinos detected by KM3NeT. In this context, he or she will play a key role in the KM3NeT real-time data analysis group, as well as in
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and transport EEE to the photosynthetic reaction center, where conversion into chemical energy takes place with near-unity efficiency. No artificial system has been able to approach this performance
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, DESI, Euclid). The successful candidate will join the CPPM's ZTF group to develop supernova analysis and will also be able to participate and exchange with other projects, in particular Rubin/LSST. Where