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This position assists in the creation of innovative solutions and is a liaison for faculty and staff for the incorporation of simulation into the curriculum and training for students and healthcare professionals
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) to study yielding in cellular materials, specifically in emulsions. The postdoc (M/F) will analyze experimental data and compare to simulations that they will carry out. - Numerically study a vertex model
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of numerical simulation is a plus. Good oral and written communication skills in English (delivering presentations, writing scientific articles). Website for additional job details https://emploi.cnrs.fr/Offres
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infrastructure. To close numerous knowledge gaps and address technological bottlenecks in hydrogen safety the use of cutting-edge modelling and simulation tools is needed. It is recognised that the most advanced
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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anisotropic mesh adaptation. All techniques will be implemented within the in-house TCAD simulator of Micron Techmology. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml
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Modeling and Simulation of Energy Storage Units interacting with the electric grid - 2026_CDR_DENG_1
-scale energy storage systems, simulating their interaction with the power grid and the electricity market. The focus of the study is both the methods for characterizing the performance of the energy
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deformation at explosive caldera-forming volcanoes. The first objective of the PDRA will be to create a numerical simulation of magma intrusion within a deep magma mush to resolve its impact on surface
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19 Jan 2026 Job Information Organisation/Company DIFFER Research Field Engineering » Nuclear engineering Engineering » Simulation engineering Researcher Profile Recognised Researcher (R2
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal