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; knowledge in numerical methods and simulation, particularly for partial differential equations, and basic knowledge in mathematical modeling with/and PDEs, with a focus on fluid or biomechanics, porous media
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of fluid dynamic modeling and the analysis of thermomechanical stresses, you will accompany the entire development process – from the optimization of electrochemical performance to the elaboration
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
Job Code: MPIDS-W083 Job Offer from February 26, 2025 For the independent research group “Theory of Biological Fluids” headed by Dr. David Zwicker we seek to fill a Postdoctoral Position (m/f/d) in
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. The role involves setting up experimental models using Particle Image Velocimetry (PIV) and performing Computational Fluid Dynamics (CFD) simulations to analyze fluid flow and deposition patterns. The data
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, soft/condensed matter theory or continuum mechanics of fluids or solids? The Max Planck Institute for the Physics of Complex Systems (MPI‑PKS) in Dresden announces the opening of several postdoctoral
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and simulation aspects across a wide range of fields - from biomechanics and geophysics to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dimensional problems
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research team investigating antiviral immunity and virus-host interactions through multi-omics analysis of infected cells, tissues, ex-vivo organs, and biological fluids. Our goal is to uncover fundamental
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are derived from medical scans (e.g., CT) of real patients, which are suitably meshed and processed for numerical treatment using Lattice-Boltzmann methods (LBM). For fluid simulations, we utilize the high
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investigate methods that eventually will automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to