-
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
-
, 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
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ultrasound sensors for quantitatively measuring
-
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
-
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
-
. 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
-
of critical infrastructure in a rapidly changing security environment. The project is carried out with an accompanying PhD project in computational mechanics that will focus on numerical simulation of fluid
-
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
-
of critical infrastructure in a rapidly changing security environment. The project is carried out with an accompanying PhD project in computational mechanics that will focus on numerical simulation of fluid