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spoken communication skills The following skills are desirable but not essential: Demonstration of undertaking research projects Ability to program Previous experimental experience in fluid dynamics
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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project offers a unique opportunity to develop autonomous microswimmers, which are bioinspired structures at the micrometre scale that can propel themselves through fluids, mimicking natural swimming
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partners in the European project, in particular also with the research partner at the Royal Military Academy in Belgium, who is doing the Computational Fluid Dynamics (CFD) simulations to estimate
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marco.salvalaglio at tu-dresden.de or to: TU Dresden, Institute of Scientific Computing, Prof. Dr. Marco Salvalaglio, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not
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Requirements: very good or good university degree in physics, meteorology, fluid dynamics or comparable Description of the PhD topic: (subproject T7) In Urban air mobility, a high wind sensitivity of UAVs
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Technology and Logistics and co-supervised by at least one additional professor plus an international tutor of the RTG Requirements:very good or good university degree in physics, meteorology, fluid dynamics
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metamorphic conditions, the exact mechanisms (dissolution–precipitation vs. dynamic recrystallization vs. mechanical transport vs. partial melting), the extent of mobility and role of fluids remain debated
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research team. Good knowledge and experience in heat and mass transfer is essential and proficiency in the use of Computational Fluid Dynamics will be considered an advantage. The student will benefit from
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element modeling, computational fluid dynamics). Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization. Experience in supply chains and hygrothermal