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internal erosion and pipe progression in clay-sand layered dikes. Derive constitutive modelling approaches from high-fidelity DNS-DEM data generated within the broader project consortium. Capture the multi
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: Develop continuum-based two-phase models to predict internal erosion and pipe progression in clay-sand layered dikes. Derive constitutive modelling approaches from high-fidelity DNS-DEM data generated
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other partners within this project. In case a (moving of fixed) bed is chosen, a coarse-grained CFD-DEM model or an Eulerian model will be developed, possibly making use of correlations from particle
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, construction and operation Experience with experimental work Experience in Computational Fluid Dynamics (CFD) modelling Personal qualities In order to be able to complete a doctoral degree, you need to be able
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Multiphysics Co-Simulation Engineer - KTP Associate (Full Time, Fixed term up to 24 months duration)
-based simulation tools such as DEM, FEA, CFD, or multibody dynamics software. Familiarity with virtual commissioning, hardware-in-the-loop testing, or PLC programming. Experience working in an industrial
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, including computational fluid dynamics (CFD), discrete element method (DEM), and discrete phase model (DPM), with a specific focus on coupled approaches (CFD-DEM/CFPD) in turbulent environments. Quantum
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experiments and datasets for model validation of multi-phase computation fluid dynamics (CFD), discrete element method (DEM), or data-driven modelling. Measurement of defect types and populations using micro- x