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: Understanding of the principles of atmospheric modeling, particularly using WRF-Chem. Knowledge of the physical and chemical processes simulated in the model, including cloud microphysics and interactions with
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four main objectives: - Design and fabricate foam-bonded granular materials, by controlling formulation parameters, shaping processes, and binder solidification. - Characterize the microstructure
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, statistics and scientific computing. * Proficiency in a scientific programming language, particularly Python, and the ability to develop reproducible processing procedures. * Knowledge of machine learning and
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characterization of materials. • Development and operation of experimental test benches under high-vacuum conditions. • Definition of test protocols, including detailed test procedures and acceptance criteria
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dynamics simulations to understand the growth mechanisms of thin films deposited by magnetron sputtering, with or without ion beam assistance (IBAS), particularly for metallic materials (Ag) and oxides (ZnO
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participate in the design of various nanophotonic structures and their fabrication in the C2N cleanroom facilities. Numerical Simulations on Lumerical Design of the different nanophotonic structures
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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model
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Théorique (LAPTh, CNRS/Univ. Savoie Mont Blanc) invites expressions of interest for one or more postdoctoral researcher positions focused on advancing simulation-based Inference (SBI) frameworks for modern
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observational data. Experience with numerical simulations, effective field theories, or axion phenomenology is highly desirable. Beyond technical excellence, we seek a collaborative scientist committed to