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Mobility through high-resolution CFD simulations, 3D urban modelling and real-world measurements. Join TU Delft to improve the safety and sustainability of future urban aviation! Job description The 3D
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Advance Urban Air Mobility through high-resolution CFD simulations, 3D urban modelling and real-world measurements. Join TU Delft to improve the safety and sustainability of future urban aviation
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, several different configurations will be evaluated with your CFD-FEM models and tested at TRL4 (10 kWe) at TU/e to identify the most promising configurations and operation modes, first only for heating
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technology for internal resistive heating of chemical reactors, several different configurations will be evaluated with your CFD-FEM models and tested at TRL4 (10 kWe) at TU/e to identify the most promising
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modelling for conversion and sorbent regeneration, in conjunction with another PhD student in the department who will perform CFD modelling and other researchers performing process system modelling within
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other partners within this project. In case a (moving of fixed) bed is chosen, a coarse-grained CFD-DEM model or an Eulerian model will be developed, possibly making use of correlations from particle
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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use. Research by our project partners will show how crops respond to microclimate setpoints based on detailed sensing data, and microclimate and crop models, obtained both through mechanistic and CFD
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Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization
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processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work and excellent communication skills in spoken and written