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(target journals: International Journal for Numerical Methods in Engineering – IJNME). Deep learning algorithms for high-temperature multiphase problems (target journals: Computer Methods in Applied
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent
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to sign the contract. More information is available on: https://www.dges.gov.pt/pt/pagina/reconhecimento . Workplan and the objectives to achieve: This work aims to develop a numerical approach based on
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
developed. Subsequently, experimental and numerical studies are foreseen on materials that are more difficult to use in L-PBF see more here https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/01
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high-impact weather with focus on East Asia and Taiwan. We specialize in Earth system climate modeling and climate diagnostics using empirical and numerical methods, collaborate with top universities
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measurement techniques). Desirable additional qualifications include knowledge in additive manufacturing (3D printing) and experience with numerical simulation methods (e.g., finite element methods, FE
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 11 days ago
, Geology, Mineralogy, Physics or related field # Experience in experimental methods for analyzing reactive transport processes # Experience in evaluating large (tomographic) data sets # Knowledge of handling
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 11 days ago
(Master/Diploma) in the field of Chemistry, Physics, Computer Science or related field # Knowledge of Density Functional Theory (DFT) # Familiarity with artificial intelligence methods # Good knowledge
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full