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-generation neuromorphic implants with learning capabilities for healthcare applications, utilizing ultra-low power technology for embedded devices. This topic is a major area of research activity of the IEMN
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develop and implement machine learning approaches to analyze these data and extract relevant indicators to improve water resources management. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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the molecular identity and function of specialised skin cells that become remodelled above the olfactory placode, and to determine how they acquire the properties required for orifice formation. The project will
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decision systems for pricing and market strategies. In particular, algorithmic repricing tools allow real-time price adjustments based on predefined rules or machine-learning techniques. While recent
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mobile base, an arm, a gripper, a learned policy, a safety module). Each agent runs its own specialized solver and is coordinated to a common, dynamically feasible plan through distributed optimization and
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on lncRNA structure. These experimental constraints will then be used to guide deep learning-assisted RNA 3D structure prediction tools, in order to generate ensembles of structural models. Clustering and
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the SPIN Doctoral School (ed-spin.doctorat-bretagne.fr). Vincent Lebastard at IMT-Atl Nantes will co-supervised the PhD thesis. This thesis is part of the PEPR Acc Robotique MiniRo (https://anr.fr/fileadmin