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porous materials using green supercritical fluid technologies. The position (TV‑L E13) offers the opportunity to pursue a PhD, access to state‑of‑the‑art research infrastructure, and close collaboration
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sciences, social sciences, and humanities. More information: https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/projects/SFB1759 The planned position is offered at the Freie Universität Berlin
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enhanced recovery. In addition, DCs will develop intuitive fluid-chemistry modelling workflows and innovative multi-criteria intelligent decision-support tools, enabling them to drive innovation in
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-adaptive two-fluid simulations using OpenFOAM provision of bubble size distributions in the swarm flow regime for project partners investigation of the influence of the injection zone on overall scrubbing
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computing, or computational fluid dynamics. Programming experience, preferably in Python, C++, and/or MATLAB. Ability to work both independently and collaboratively. Excellent analytical and problem-solving
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• Interdisciplinary applications ranging from biomechanics and geophysics to fluid and polymer models Further information can be found here: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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), with the aim of improving the efficiency of scientific simulations in applications such as cardiac electrophysiology (MICROCARD: https://microcard.eu/index-en.html), fluid flow (NekRS, OpenFOAM), and
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physics, multiscale modeling, and uncertainty quantification. The Multiscale Modeling of Fluid Materials group at the Technical University of Munich is looking for talented and ambitious scientists
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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