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– UMR 6226) is a Mixed Laboratory associating CNRS (INC et INSIS), and the University of Rennes 1, the "Ecole Nationale Supérieure de Chimie de Rennes" (ENSCR) and the "Institut National des Sciences
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of Mercury) by developing an instrumental model of the PWI/AM2P mutual impedance probe embarked on the BepiColombo Mio probe, - contribute to the design and ground testing aspects of the COMPASS/MIX mutual
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indoor air quality improvement. In the last years, photoluminescent (PL) solid sensors, that can respond to the presence of water with a detectable change in their PL signal, have been considered as an
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OH* chemiluminescence. The databases will be explored using modal-decompositions and related signal-processing techniques whose objective is data-reduction that would reveal key dynamics associated
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knowledge of the synthesis and characterization of materials. Signal processing skills are appreciated, but not mandatory. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8520-YANCOF-019
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the perspective of cell, tissue and organ mechanics/dynamics and mechanical signal transduction. The institute operates according to a fully integrated open laboratory philosophy, with an extensive infrastructure
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that characterize inflammation in response to severe infection (sepsis). At the same time, you will use a reference method from hospital biology laboratories to compare, from an analytical point of view
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; Signal Processing; Automatic Control; Applied Mathematics. Expected skills: - Proficiency in scientific computing software for algorithm prototyping: Python, Julia, Matlab, etc. - Mastery of computer tools
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, or physics. • Background: knowledge in electronics, signal processing, bioelectromagnetics, numerical modelling. Experience with commercial or open-source numerical solvers (e.g., CST, Ansys, SIM4LIFE