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(REMLA). This technology enables the direct conversion of expansion work into electricity without lubrication, without rotating parts, and with high adaptability to variations in pressure, temperature, and
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the efficient and clean use of renewable synthetic fuels. Candidates will develop advanced skills in combustion science, chemical kinetics, and digital modeling. Each PhD will lead to a double degree awarded by
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, computer science, instrumentation, acceleration techniques, and biology techniques. These technical strengths are a major asset for the design, development, and use of the necessary instruments (accelerators and
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 2 months ago
analysis. Objective The goal of this PhD is to formally verify the memory safety of Linux kernel drivers. The project will focus on driver interactions with the kernel, including the direct use of kernel
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will work in the
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for applying this approach at two sites, where he or she will spend three months each immersed in the daily activities of the communities (participant observation), to better understand their functioning and
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bench (optical, electronic and mechanical) and multiphysics analysis using high-performance on-site instruments (optical spectrum analyzer, 3D intensity profile, wavefront, RF spectrum, field polarization
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European contract (Horizon Europe, EIC). The work will be shared between two laboratories located on the Saclay Plateau: the Laboratoire de Mécanique Paris-Saclay (LMPS) at ENS Paris-Saclay/École Centrale
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LevelMaster Degree or equivalent Skills/Qualifications Experience and proficiency in cytometry. Experience with cell culture Experience in cell metabolism analysis Strong analytical and writing skills Excellent
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communications. The team specializes in multi-sensor methods, tensor decompositions and component analysis for the joint processing of multimodal data, notably in the context of invasive (intracardiac electrograms