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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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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and
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this PhD project is part of the REFFRACTEUR European Doctoral Network, the 36-month doctoral programme will be organised as follows: Months 1–9 (9 months): the doctoral candidate will work at SAFRAN's
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collaborations provide access to cutting-edge experimental infrastructure, complementary expertise, and an international scientific network, fostering exchanges, research trips, and participation in international
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(bbγγ) channels. In the classical HH(bbγγ) analysis, the H(γγ) channel is treated as a major background process for the di-Higgs channel. A joint analysis of both modes would optimize the overall
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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi
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-turbine capable of converting their energy into electricity. Ultimately, this strategy could significantly reduce the net energy consumption of the process and contribute to the development of low-carbon