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, Applied Physics, or a related field. A strong foundation in (multiphase) fluid dynamics. Proven experience with experimental work and a drive to explore and improve state-of-the-art techniques. Image/data
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geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental
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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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the viscosity of flows. Job description Continuous, non-invasive measurements of fluid properties are instrumental in factories that produce food, medicine and semiconductor products such as microchips and solar
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Ultrasound sensors for quantitatively measuring the viscosity of flows. Job description Continuous, non-invasive measurements of fluid properties are instrumental in factories that produce food
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. The project combines advanced computational mechanics, nonlinear finite element analysis and fluid–structure interaction to address critical challenges in civil protection and societal resilience. About the
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to characterize the dynamic properties of soil and rock, providing essential input for model calibration and validation. The project addresses emerging challenges related to civil preparedness and protection
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an aerodynamic bird collision avoidance model, combining computational fluid dynamics (CFD) of the flow around wind turbines with the aerodynamic characteristics of flying birds to predict collision risk. This
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to characterize the dynamic properties of soil and rock, providing essential input for model calibration and validation. The project addresses emerging challenges related to civil preparedness and protection