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Field
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disease progression. Exploring cell-to-cell and organoid-to-organoid interactions using microfluidic platforms to better understand neurodegenerative processes. Implementing cutting-edge assays
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in biomaterials and bioprinting Experience in computational fluidic dynamics (i.e., COMSOL, Ansys Fluent) Experience in cell culture Knowledge of microfluidics computer simulation finite element
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Sadron Institute. The team works on themes related to the process-structure-property correlations of pi-conjugated materials for applications in organic electronics. The SYCOMMOR team has particular
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evaluation of prototype implementations. More generally, the PhD thesis is part of a large initiative at Serval and SnT, which aims to support the reliable deployment of machine learning systems by providing
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) Knowledge of image analysis using ImageJ or similar software Scientific writing skills For the conditions, requirements, details of the research project and other relevant data, please check the general call
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infrastructure managers in developing cross-sectoral strategies to proactively shape infrastructure demand, as an alternative to the traditional and increasingly untenable 'predict-and-provide' paradigm. By
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focus on understanding how axons maintain their structure and function, and how these processes break down in disease. You will have the opportunity to contribute to one of our ongoing projects addressing
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disease. Research methods include behavioral, functional, and structural magnetic resonance imaging (MRI) measures. Job description: The successful candidate will receive interdisciplinary training in
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endoscopy, this is the right research project for you. The PhD research project aims to explore and develop probes for ex-vivo and in-vivo applications for tissue imaging, classification and identification by
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well as computational analysis to uncover biophysical principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine