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Field
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discovery and basic research to clinical translation. The PhD student will be part of the Organs-on-Chip Technologies Lab (Prof. O. Guenat), which integrates microfluidic engineering with advanced cell
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together I) microfluidic/flow-based nanoparticle synthesis, which underpins modern nanoparticle drug delivery systems including the Pfizer–BioNTech COVID-19 vaccine, together with II) high-throughput
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(SONATA, EP/V028626/1) and brings together expertise in microfluidics, fluid dynamics, nanoparticle engineering, and dental microbiology. Approach and Methods: Engineer in vitro models of bacterial biofilm
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-gradient-driven diffusiophoretic focusing for power-free analyte concentration Integrate nanomaterials and microfluidic components into scalable, user-friendly LFA prototypes Validate device performance
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at the University of Graz, Austria. About the Position: This role focuses on developing advanced single-molecule fluorescence and microfluidic approaches (confocal, TIRF, single-molecule FRET) for biophysics
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cutting-edge microfluidic approaches, fluorescence-based assays and advanced microscopy techniques to study the molecular interactions underlying protein aggregation and neurodegeneration. The candidate
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-microfluidics (Thomas Pfohl, Physics Institute, University of Freiburg), bacterial ECM mechanobiology and biochemistry (Liraz Chai, Hebrew University of Jerusalem) and theoretical modeling (Vasily Zaburdaev Max
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synthesis, high-throughput screening, mechanistic enzymology, bioinformatics and microfluidic engineering are advantages Applications should contain a description of research interests (e.g. as part of
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview This PhD will develop a Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational
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Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational fluid dynamics (CFD), to create a dynamic, perfused system that mimics the human synovial environment. The platform will