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torques. For example, the candidate may investigate how anisotropic particles at fluid–fluid interfaces give rise to large-scale hydrodynamic phenomena. [2,3] Candidates must have completed or be close to
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Objectives Development of sensitivity framework for coupled sensitivity analysis. Extend the developed framework to support FSI problems, and identify suitable sensitivity computation methods. Identify
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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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traverse boundaries between theory, simulations, and experiments towards understanding and controlling fluid flows. In our team, we strive for a cocreative and stimulating environment where we can develop
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 days ago
Deadline 27 Feb 2026 - 23:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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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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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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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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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