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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months 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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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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the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node
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university. Faculty and staff are dedicated to student engagement and experiential learning through high-impact practices such as internships, service- and community-based learning, leadership development
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computational fluid dynamics modelling of water treatment and desalination processes is an advantage. Willingness to work within a multidisciplinary group. Demonstrated skills in scientific writing in the form
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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 and industrial
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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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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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et al, 2nd edition https://www.genome-scale.info/ ). The candidate will develop efficient programs that implement the designed algorithms, and run computational analyses. The results can be confronted
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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