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cutting-edge microfluidic experiments with advanced numerical modeling. Your work will enable upscaling from pore- to column-scale clay behaviour under real-world conditions relevant to sustainable
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properties. In this context, the CRN group recently reported a microfluidic method to bestow simple chemical coatings with the capacity to transduce, delay, and perturb chemical signals. Your project aims
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3D printers, furnaces, centrifuges, and microfluidic devices. Meticulous data recording and analysis are essential, as the project combines practical engineering with fundamental physical chemistry
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consortium also includes industrial and clinical partners. This particular PhD project aims to develop the in-vitro vasculature-on-chip models, microfluidic chips in which controllable and physiologically
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characteristics. In vitro microfluidic models will use disease-specific flow conditions and blood samples from DVT patients. Your work will ultimately contribute to a risk prediction tool for recurrent DVT and PTS
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in hemodialysis patients. Your work will involve: Developing in silico models using computational fluid dynamics combined with macroscopic thrombus formation modelling. Creating in vitro microfluidic