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, including gas turbines and combustion engines. We combine advanced computational fluid dynamics, theory, machine learning, high-performance computing, and experimental methods to investigate and model complex
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Job Code: MPIDS-W093 Job Offer from August 25, 2026 In the Max Planck Research Group “Theory of Turbulent Convection” of the department “Fluid Physics, Pattern Formation and Biocomplexity” we seek
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physical limits, disruptive concepts (e.g. active flow control, morphing geometries) shall be investigated. Your focus lies on the development and application of AI/ML methods to assess the potential
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The »Grid-Free Methods « department at the Fraunhofer Institute for Industrial Mathematics ITWM focuses on the modelling and efficient simulation of complex industrial problems for the design and
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philosophy and/or social studies of science and technology. The position is part of the Horizon MSCA Doctoral Network “Towards sustainable computational fluid dynamics” coordinated by the Institut National
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and actively cool LPA targets, with a focus on long-term stable operation In this context, perform complex multi-physics simulations, including heat transport, computational fluid dynamics and molecular
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Researcher and Postdoctoral Researcher Positions in Computational Methods for Civil and Environmental Engineering in the field of data-driven and model-driven simulation methods for atmospheric flows, ocean
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture