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Field
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extensive experience on Von Karman swirling flows with fluids ranging from water, to Superfluid. Measurement techniques have thus been developed over the years and research is being out using state of the art
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measurement techniques such as particle image velocimetry (PIV), laser Doppler velocimetry (LDV), and hot- or cold-wire anemometry is highly desirable. Computational Fluid Mechanics position: - PhD in
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focuses on developing high-fidelity heat-transfer and fluid-flow models for AM-induced surface roughness, combining DNS/LES, reduced-order models, new correlations, and improved RANS wall models calibrated
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Fluid Dynamics simulation code developed by our Project Partners at the Barcelona Supercomputing Center. The PDRA will improve and validate an existing model we have developed to simulate analogue dyke
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-principles, network-based framework for plant water and carbon transport under climate extremes. The successful candidate will work at the interface of plant physiology, fluid mechanics, network theory
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systems, stochastic methods in statistical mechanics, hydrodynamic limits, interacting many-body systems, quantum macroscopic evolution equations, stochastic differential equations, computational methods in
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coupled nuclear engineering problems, using techniques such as (but not limited to) molecular dynamics, computational fluid dynamics, activation decay codes, kinetic Monte Carlo codes, particle transport
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The hired post-doctoral researcher will analyze new and
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role will focus on developing fundamental and applied insights into clay–fluid interactions, environmental geotechnics, and sustainable soil-based materials using a combination of computational modeling
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Mathematics