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Associate Researcher whose research will focus on space physics. The research includes the following activities: Numerical modeling of the dynamic variability of radiation belt fluxes Data analysis from
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materials synthesis and growth, characterization, novel probe development, and theory; 2) Modeling in order to enhance computation technology; 3) Modeling the behavior of skyrmion magnetic interfaces; and 4
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Sorbonne Universite - Laboratoire de Chimie de la Matière Condensée de Paris (LCMCP) | Paris La Defense, le de France | France | about 22 hours ago
5 Apr 2026 Job Information Organisation/Company Sorbonne Universite - Laboratoire de Chimie de la Matière Condensée de Paris (LCMCP) Research Field Technology » Materials technology Biological
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, and c) predicting new phenomena and discovering improved materials for applications. My efforts in this area use a variety of modeling approaches to answer questions on materials systems of interest
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materials. Simulation outcomes will be compared with experimental observations where possible, enabling validation of the proposed design and modeling framework. Ultimately, the project aims to enable
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modeling of polymeric, reinforced, and porous materials, with strong expertise in large deformations and numerical homogenization. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7649-JULDIA
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https://www.nist.gov/programs-projects/pipeline-safety to learn more about our facilities and current research. Radiation; Metallurgy; Materials science; NDE; Modeling; Fracture; Fatigue; Corrosion
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on advanced modeling of coupled fracture/damage of geomechanical materials when subjected a range of multiphysical loading regimes including hydraulic, thermal, and chemical processes. The direct applications
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3 Apr 2026 Job Information Organisation/Company IFP Energies nouvelles (IFPEN) Research Field Chemistry » Reaction mechanisms and dynamics Engineering » Materials engineering Physics » Chemical
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with Novel upscaling assisted by artificial intelligence) project financed by PEPR DIADEM (a public funding program on the development of innovative materials using artificial intelligence). The relevant