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metabolism and hydraulic processes, via signaling mechanisms that remain to be elucidated. The researcher's specific objective will be to characterize the molecular and cellular basis of these mechanisms and
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magnetotransport). They will analyze device performance metrics such as output signal, switching speed, energy consumption, endurance, and scalability, and benchmark them against existing technologies (CMOS, MESO
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
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) to reconstruct the sea surface height signal associated with different dynamic features: internal tide waves and mesoscale dynamics. The project is part of the Adopt A Crossover consortium, with the lead
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, optics, signal processing, data science, or a related discipline. They should have strong skills in physical modeling and/or machine learning, as well as experience in the development of scientific
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/ researchers and 138 engineers and technicians), 46 staff on fixed-term contracts and 102 doctoral students. For more information, do not hesitate to consult the IPHC website: http://www.iphc.cnrs.fr
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. • Strong expertise in the analysis of experimental space data and signal processing. Technical Skills • Proficiency in a scientific programming language (Python or equivalent). • Knowledge of in situ
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the ASTRID ProCoPe project (Collective Processes for Power Components), led by the III-V Lab, which aims to fabricate power components with diamond heat sinks, based on Gallium Nitride (GaN), and to develop
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models indicate that the thermal structure of the European lithosphere remained stable during the Mesozoic, potentially due to small-scale convection at its base. To evaluate this hypothesis, the study
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typically takes a step of 10 nm in about 10 ms. The spatiotemporal precision of these measurements has been recently greatly increased by developing a new two-photon microscope (the signal is no longer