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validation of the numerical model. Candidates should be holding a MSc degree in Engineering (or equivalent), with demonstrated experience in computational fluid dynamics (CFD), preferably in hydraulic
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engineering, physics and applied mathematics. You should have experience in one or more of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied
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in another way. Knowledge of mathematical modeling, building simulation, CFD or measurements is an advantage. You also have a genuine interest in energy issues in general and see this as an important
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- Fundamental of computational fluid dynamics, and experience with CFD software - Methods for design & optimisation - Computer assisted design and prototyping, - Experience with
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: Professional experience in universities and companies in the field of numerical simulation of heat treatments (punctuation: 20) Item 03: Proven expertise in CFD, particularly in steel heat treatment issues and
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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tool that can simulate indoor radon level dynamics and the effect of energy-efficient measures and different mitigation methods, combining the results of Computational Fluid Dynamics (CFD) simulations
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dispersion. Yet conventional Computational Fluid Dynamics (CFD) workflows rely on watertight geometric models and volumetric meshes that are slow, complex, and costly to produce. Within the POINT-TWINS project
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, critical for efficiency. A sophisticated numerical framework will be developed, coupling moving-mesh CFD with detailed chemical kinetics to evaluate advanced scavenging designs and low-temperature combustion
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Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering), Condensed Matter Physics (Fluid