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offer major advantages over inorganic systems, including well-defined structures, identifiable active sites, and detailed insight into catalytic mechanisms in homogeneous solution. In addition, ligand
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predict interaction effects. Unlike robot-specific neural network models, the proposed approach aims to learn a universal representation of local interactions (fluid-structure, robot-robot, robot-object
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these processes by coordinating the dynamics of microtubules and actin network within the axonal growth cone. More recently, our work has revealed that NAV1 also regulates cell adhesion dynamics during the directed
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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
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tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless communications
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the context of a PEPR project, in collaboration with eight CNRS and CEA laboratories working on the future of electrical grids. More specifically, it is linked to WP5, dedicated to cybersecurity and network
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modified under the influence of an external electric field (E). Antiferroelectric materials, on the other hand, have an antipolar dipolar structure corresponding to a net polarization of zero and undergo a
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identification of exchange networks from local to extra-regional scales. The doctoral candidate is expected to conduct metallographic examinations and chemical characterizations (primarily SEM-EDS and LA-ICP-MS
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this thesis is part of the European doctoral network REFFACTEUR, the 36-month period will be divided as follows: - Months 1 to 9 (9 months): the PhD student will first work mainly in Saint-Aulaye
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data