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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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during these experiments will be used to calibrate a numerical model of PFAS fate in soils. The predictions from this model will then be compared with PFAS concentration measurements in leachate collected
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(if remanent excess heat signatures can be identified near currently inactive hotspots) and small hard-to-resolve anomalies might also be present. In this context, new numerical needs are emerging
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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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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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(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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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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-Energy Atmospheric Electricity, Astrophysics, Plasma Physics, Atmospheric Physics, or in a related field, - Expertise in numerical modeling, instrumental design, and electronics, - Good command
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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