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mathematical modeling; fundamental understanding of fluid mechanics and soft matter physics; good quantitative skills and strong analytical capabilities; proven experience with experimental image and data
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engineering, or in a closely related discipline; a strong and proven affinity with experimental techniques and mathematical modeling; fundamental understanding of fluid mechanics and soft matter physics; good
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Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing
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student to join team at TU/e. This project (SPACER) aims to develop new architectures for porous electrodes to improve the power density and energy efficiency of redox flow batteries (RFB), enabling
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Advanced Grant project FLOW. This project investigates the functional roles of brain oscillations for human cognition (attention, memory, cognitive control), explores how brain and body rhythms interact
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We are looking for three motivated and curious PhD students to join our ERC Advanced Grant project FLOW . This project investigates the functional roles of brain oscillations for human cognition
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of removal efficiency, energy demand, and scalability. This will involve designed experiments exploring tunable physical and chemical parameters, including (but not limited to): flow rate, vortex size, and
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transitions, flow dynamics, stratification) inside thermal storages containing PCMs? How can we describe via validated multi-physics simulation models; heat transfer, flow behavior, and phase changes? Your task
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collaboration with DENS solutions company. Femto-Cryo will use 3D printed fluid force microscopy (FluidFM) cantilevers from TU Delft, and CryoSilico cryo-EM sample supports from DENS solutions to develop a novel
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and Innovatie (TKI) project in a public-private partnership (PPP) scheme in collaboration with DENS solutions company. Femto-Cryo will use 3D printed fluid force microscopy (FluidFM) cantilevers from TU