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, the candidate will design and optimise the key components of a disassembled loudspeaker (suspensions, magnetic motor, diaphragm) using analytical, numerical and experimental approaches. A second phase will focus
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layers. 1-Context Turbulent flows dictate the performance characteristics of numerous industrial equipment and environmental applications. One important consequence of turbulence is to increase the mixing
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of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
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for Nanoscience and Nanotechnology located on the Saclay plateau. The candidate will join the Photonics Department. The C2N is equipped with a large micro-nano-fabrication clean room and numerous photonics
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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requirements: • Master degree in theoretical physics, computer science or communication systems • Excellent programming skills • Experience in optimization, numerical methods or learning • Proficiency in spoken
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Non-coding RNAs (ncRNAs) play a central role in gene expression regulation and in numerous cellular and molecular processes. Their dysregulation is implicated in various pathologies. This doctoral
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Dual expertise in materials physics and numerical simulation Website for additional job details
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. The recruited person will collaborate with numerous researchers and engineers within the laboratory, specialists and managers of various biophysical characterization techniques for molecules with high therapeutic
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(e.g. Python, MATLAB or equivalents); Interest in applied thermodynamics, numerical simulation and sustainable energy systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7274-SILLAS