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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 21 days ago
Modelling. Your tasks # Development and implementation of numerical and algorithmic methods for the simulation of fluid-dynamical or environmental systems # Research on quantum and hybrid quantum–classical
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simulation considérables. Or, les inondations sont par définition des événements exceptionnels, avec peu de données. De plus, la rapidité opérationnelle de ces méthodes ne permet en fait pas de compenser le
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, engineering sciences, or applied mathematics, with strong knowledge in nonlinear optics and laser physics. A solid command of numerical and simulation methods is essential, in particular the solution of partial
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of oceanographic datasets Analysis of ocean circulation models (e.g., GLORYS) Use of OceanParcels framework for Lagrangian simulations Application of ROMS (Regional Ocean Modeling System) for numerical modelling
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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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characterization techniques. The second phase will be dedicated to the development of a Multiphysics numerical model, validated and informed by experimental data, to simulate the WAAM process. Strong
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. in Chemical Engineering or a closely related field. Deep knowledge of chemical kinetics, thermodynamics, and numerical simulation methods for reacting systems. Demonstrated expertise in scientific
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the following domains : - Applied physics (insulating materials, thermal transfer, fluid mechanics, modeling...) - Instrumentation, basic electronics - Notions on simulation using numerical methods Additional
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skills in mechanics of materials, numerical simulation and physical metallurgy. Internal Application form(s) needed Annonce_Cifre_AMF-UTC_Contraintes Residuelles.pdf English (244.76 KB - PDF) Download
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improving the simulation methods developed in the laboratory. Previous work has made it possible to qualitatively identify the optimal growth conditions. Nevertheless, so-called ‘classical’ atomic-scale