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) project MicroMan4Health (website: https://www.microman4health.eu/ ), Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector. The shift from process-centric to data-centric
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an indication of the potential leak location. Based on the previous research works, Leak-scan proposes to use 3D GPR data to optimize the detection process powered by AI techniques. Its objectives contain (1
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image analysis, spatial transcriptomics, mechanobiology methods, and drug screening assays. The project has the potential to deliver a next-generation research tool and data that may support future
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Digital Twin, which will be combined with existing 3D image data. This approach allows for an unprecedented exploration of Long Room's physical properties, enabling new acoustic experiences for both
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. Experience in cell culture (2D and 3D). 2. Experience in molecular biology techniques. 3. Experience in microscopy and image analysis. 4. Experience in bioinformatics. 5. High level of English (B2 or above). 6
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ongoing perfusion experiments in collaboration with clinical and biological partners In the second thrust, the student will conceive, design, and prototype next-generation perfusion-based platforms for new
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transported nutrients. Combining micro-fluidic techniques and 3D cell culture, you will grow human microvascular tissue on chip whose morphology self-organizes in response to vasoactive sub-stances. Your work
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techniques and 3D cell culture, you will grow human microvascular tissue on chip whose architecture self-organizes in response to vasoactive substances. Your work will lead the way to applications of flow
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pathologic processes. Challenging aspects include image segmentation of the lung, lobes, airways, and vascular tree; extending our tissue characterization software to include 3D anatomic features as