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atomistic tight-binding and multi-bands k.p models for the electronic structure of the materials. Using TB_Sim, CEA has made significant progress in the understanding of various aspects of the physics of spin
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materials manufacturing methods - Experience with metallographic specimen preparation and electron microscopy - Experience with computational modelling, either related to materials behaviour or to X-ray
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NIST only participates in the February and August reviews. The fire modeling community is actively working to develop the tools needed to quantitatively predict material and product flammability
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: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural
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the cellular and molecular mechanisms that confer this unique privileged status upon the digit tip. The Research Associate will use single cell spatial transcriptomics, genetic mouse models, and cutting-edge
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. In 2022, UCA joined the "Top 17" French universities holding an excellence label, with the unifying theme: designing sustainable living and production models. * General overview of research at UCA
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modeling framework, which we use to assess the industry transition of the three basic materials: steel, cement, and plastics. It consists of the dynamic material flow analysis model REMIND-MFA, tracking
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discrete modeling – familiarity with EDEM software is an advantage, knowledge of micromechanics of granular and microporous materials, proficiency in English (formal and technical) enabling literature
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fields: Material Science, thermal simulation, Metallurgy, Solidification of alloys,... School - Location: Centrale Lille Institute Laboratory: LaMcube Web site: http://lamcube.univ-lille.fr/ Name of
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machine learning (ML) approaches offer a powerful framework for modeling complex catalytic materials with near ab initio accuracy while enabling simulations at significantly larger spatial and temporal