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Vacancies PhD position on indirect combustion noise; Fluid Mechanics; CFD; Aeroacoustics Key takeaways Simulation-based development of indirect combustion-noise theory To remedy ineluctable
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, Applied Physics, Process Technology, Civil Engineering or a closely related discipline) You have received training in multiphase flow physics, numerical methods, and computational fluid dynamics (CFD
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, numerical methods, and computational fluid dynamics (CFD), ideally complemented by application in your MSc thesis, research projects, or internships. Have excellent communication skills and command of English
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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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Civil Engineering, Mechanical, Electrical, or a closely related field. Demonstrated expertise in ESM and IAM. Experience with High Performance Computing (HPC) and large-scale dataset analysis. Strong
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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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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine
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building models (impervious and with openings) capturing loads and pressures on various structural elements, both horizontally and vertically. Integrating experiments with numerical simulations (e.g. CFD