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control of industrial emissions and reduce health and environmental risks. Bringing together fluid mechanics, high-performance computing, and data science, this project fosters a dynamic, collaborative
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 22 hours 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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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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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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-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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the office. Duties: Prepare clients to see fitness trainers Maintain appropriate inventory of supplies for the practice Clean and stock supplies Occasional back up to the front desk Cleaning and upkeep
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as a microwave instrumentation device. Improve the performance of new sensor designs using the developed metrics, with a focus on the detection of nanoparticles in biological fluids. The final stage
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Familiarity with CFD applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD