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-large distribution in France, a part of the network that is currently understudied. This project will pay particular attention to: -the logistical role of the Caribbean islands and the Antilles in
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Bourgogne (Dijon), to develop and apply mathematical results to better understand the diversity of your corpus and interpret this diversity in terms of networks, thereby shedding light on the circulation
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hold a Ph.D. in materials physics or scientific imaging, with proven experience in spectral imaging techniques (e.g., software such as Python, R, HyperSpy) and/or synchrotron techniques (luminescence, UV
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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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reproducible research and to mentoring students. Research Environment and Supervision: The postdoc will be a member of the Astroparticle and Cosmology group at LAPTh, and will be supervised by Dr. Francesca
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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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: In-depth mastery of techniques in structural and molecular biology, biochemistry, cell biology, and immunology is essential. Proficiency in using computer tools and software dedicated to data