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/Lausanne-PhD-positions-Experimental-unsteady-fluid-and-vortex-dynamics/1163119355/ . Postal Mail: Station 9 1015 Lausanne Switzerland Web Page: https://www.epfl.ch/labs/unfold/
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dynamic pressure sensors to measure the flow and flame response. In particular, the project will focus on novel methods of introducing flow perturbations, to rapidly and accurately characterise the acoustic
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Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | 2 months ago
). It hosts several scientific teams covering several topics (climatology, fluid mechanics, parallel algorithms...) among which the CFD (Computational Fluid Dynamics) team is the largest. The main fields
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description of vapor-liquid and fluid-solid interfaces The models will then be used to quantify nucleation energies in order to gain insights into nucleation phenomena like homogeneous nucleation, cavitation
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natural silica-rich rocks The ETH Zurich Geothermal Energy & Geofluids (GEG.ethz.ch) Group in the Department of Earth and Planetary Sciences investigates subsurface reactive fluid and geothermal energy
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atmospheric effects. Secondments: von Karman Institute for Fluid Dynamics (VKI, Sint-Genesius-Rode, Belgium, ca. 3 months): definition of common model interfaces Astos Solutions GmbH (ASTOS, Stuttgart, Germany
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involving Fluid Dynamics. Demonstrable affinity with studying the physics of the ocean and preferably with polar oceanography. Experience with numerical modelling. Excellent ability to communicate in both
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System Dynamics, 8(3), 697–706. https://doi.org/10.5194/esd-8-697-2017 Pindsoo, K., Soomere, T., 2015. Contribution of wave set-up into the total water level in the Tallinn area. Proceedings
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gases in the atmosphere. Derivation of parameters necessary for the calculation of regional atmospheric effects. Secondments: von Karman Institute for Fluid Dynamics (VKI, Sint-Genesius-Rode, Belgium, ca
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weather forecasting to cardiovascular medicine. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning