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Field
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fellowship in the area of High-Performance CFD. The fellowship is for 12 months. The aim is to develop preconditioners for iterative Krylov subspace methods, based on multiscale domain decomposition methods
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interpersonal skills and ability to work collaboratively with others Project management experience Experience with CFD and CAD software Understanding of sCO2, H2 and NH3 process and energy generation systems (i.e
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interpersonal skills and ability to work collaboratively with others Project management experience Experience with CFD and CAD software Understanding of sCO2, H2 and NH3 process and energy generation systems (i.e
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for the film material and is typically understood via computational fluid dynamics (CFD). However, CFD simulations for CVD processes and the associated experiments are extremely costly (e.g., computation, gases
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selected flagellates Do formal fluid mechanical analyses, including cfd, of propulsion and foraging mechanisms in selected flagellates, based on observations. Supervise Bsc and Msc student projects. As a
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, mechanical modelling (e.g. elastohydrodynamics), numerical modelling of PDEs (eg diffusion equation), FSI, CFD Excellent knowledge of programming languages such as Python, Matlab, or C, C++. Please click here
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, the candidate is expected to supervise BSc-/MSc students or semester interns. Your profile PhD in Materials Science, Mechanical Engineering, Manufacturing Technology or similar fields Experienced in CFD
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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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Advanced Master’s programmes. You have good didactive and communicative skills. You have already conducted research in the field of numerical modelling of flows and have research experience with CFD tools
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. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong