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developed in inverse problems of topology optimization of the geometry where complex fluid flows occur, with a view to generating a predefined velocity field. Task 6 – Preparation of internal reports
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position will be open at the Fluid Dynamic division of Mechanical and Maritime Science department. The research at the Division covers turbulent flow (both compressible and incompressible), multiphase flows
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are recruiting a postdoctoral researcher as part of the SATELLITE project
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40 Offer Starting Date 15 Mar 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101248689 Is the Job related to staff position within a Research
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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is a unique opportunity to play a central role in the EU-funded MagHeat
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). The network joins 17 international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems
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Modeling, Analysis & Prediction of Particle-laden Real-Gas Supersonic Turbulence. (Ref. 10267290001)
Description Mission: Carry out the modeling, analysis and prediction of real gas supersonic turbulence. Fuctions to be developed: Develop tools to aid analysis. Perform experimental and computational analyses
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may be renewed up to a maximum of 39 weeks. $2,500.00 incentive bonus with first 13-week assignment. Please visit: https://https://hr.virginia.edu/uva-health-internal-traveler-program We are looking
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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