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is to develop high-fidelity models based on a test-calculation dialogue, seeking the best compromise between the degree of accuracy, the level of complexity, and the effort required to identify
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(LES) results. Key Responsibilities: Develop and refine numerical algorithms for real-time wind field forecasting. Validate forecasting models against high-fidelity LES data and field measurements
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in reservoir engineering, geosciences, geotechnical engineering, or related fields. Experience in numerical modeling of flow in porous media and programming skills is highly desirable. Supervisors: Ana
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observations disponibles dans les observatoires de l'infrastructure de recherche OZCAR comme l'Observatoire du Larzac (https://deims.org/83b01fa5-747f-47be-9185-408d73a90fb2
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 8 days ago
) at the IT4Innovations, at the Material Design group of Dr. Dominik Legut within the Modeling of Nanotechnology Lab, is open to applicants for studying MATERIAL PROPERTIES OF MAGNETIC MATERIALS by means of the spin
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phases [1]. The main objective is to study these effects, never observed before in an experimental setting, through numerical modelling and laboratory experiments. This PhD thesis is part of a
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initiation and evolution. Different rheological parameterizations of yield-strength and dislocation creep will be compared in regional and large-scale numerical models of mantle dynamics. We will in particular
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and numerical models as well as constitutive model calibration and validation based on physical experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering
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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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tomography, computational resources, and laboratory facilities for experimental mechanics? The Division of Solid Mechanics conducts research within constitutive modelling, nonlinear numerical methods