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experimental set-up, and in particular will be responsible for setting up a local computer network and an elaborate control and acquisition chain, centered on a dedicated system already acquired by the team
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The candidate must have a PhD in physics or acoustics. Basic skills in experimental physics are required. He or she must be able to acquire and process data independently. Knowledge of multiple wave scattering
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knowledge of the rules governing microbial assemblages in order to propose practical solutions for improving wetland management and governance. The specific objectives of the MAEWA project are to acquire new
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journals. - Participating in the supervision of interns and PhD students within the team. Main Activities: - Develop a colorectal cancer model through C. rodentium infection and chemical agents. - Set up and
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Eligibility criteria • PhD in climate sciences, hydrology or statistics applied to geosciences • Thesis and/or post-doctoral experience desirable in analysis of climate variability and teleconnections, analysis
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and machine learning Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7018-CEDGEN1-002/Default.aspx Work Location(s) Number of offers available1Company/InstituteLaboratoire de
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, measurement and roughness characterization of magnetic guiding potentials -Co-supervision of trainees and PhD students TE is one of the world leading metrology laboratories working in the field of atom
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programming, CAD or generative design tools, knowledge in crystal plasticity, continuum mechanics, additive manufacturing, data science, and machine learning. Additional comments More information about the
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
, C. (2023). Approche sur grilles parcimonieuses pour accélérer la méthode PIC (PhD, Toulouse 3). - Participate in the Exascale porting of 3D sparse-PIC code, including distributed parallelism
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, background in black-box optimization and machine learning are a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7606-CARDOE-006/Default.aspx Work Location(s) Number of offers