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Field
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description CENSEMAT investigates crystalline energy materials in which non-random local deviations from the average structure play a decisive role. The postdoc will develop atomistic models that connect local
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validate theoretical models exploring the connection between thermal conductivity and electronic mobility in different classes of material. • Study the mechanism of polaron formation and dynamics
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
Job description:Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the Mechanical Behavior of Ion-Irradiated Nuclear Structural Materials within Materials
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago
engineering (within the past 3 years) with a strong background in particle-based (kinetic) and fluid (continuum) methods for the modeling and simulation (M&S) of dense and rarefied ionized gas flows. Candidates
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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Domaine Physique du noyau, atome, molécule Contrat Post-doctorat Intitulé de l'offre Post-doctorat - HED models development into the ESTHER code and experimental applications - H/F Sujet de stage
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
project. The position will provide core expertise in physics-based environmental and ocean modeling, with emphasis on numerical simulation and prediction of ocean conditions such as currents, tides, waves
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
project. This research position will investigate models and their uncertainty for underwater acoustic propagation to better estimate the spatial and temporal properties of underwater soundscapes
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electrochemical or battery modelling who are interested in developing expertise in plasma-based materials processing are encouraged to apply. Additional Information Work Location(s) Number of offers
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extreme weather forecasting, employing data science models as developed in computer vision and natural language processing (NLP). This project leverages the large-scale high-performance computing (HPC