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Field
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-quality cryo-ET data. The candidate will apply these workflows to challenging questions in the structural cell biology of the assembly of a unique machinery involed in bacterial motility and cell-autonomous
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the goal to obtain more in-depth process understanding and develop automated control strategies for single cell microbial suspension cultures. Currently, the team is working on liquid- and gas-phase
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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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requirements We will consider applications based on the following skillsets. If you do not fullfil all requirements, please still apply (there is room for learning-on-the-job). A PhD in aerospace/mechanical
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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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(there is room for learning-on-the-job). A PhD in aerospace/mechanical engineering or applied physics. Demonstrated ability to conduct research in experimental fluid mechanics. Proven competence on flow
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, as you’ll be working in an internationally diverse community and with international partners. Ability to learn independently and passion for research Team player, open to discussion and constructive
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economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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project focused on developing an advanced machine learning framework for spatio-temporal datasets. The position is for 2.5 years and is partially funded by the Dutch Research Council (NWO) through