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the experimental protocols and developing metrology methods to quantify improvements in imaging depth, preservation of tissue architecture, and overall imaging performance compared with conventional serial
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, and the formation of a perfusable endothelial network. The central hypothesis is that the physical properties of the extracellular matrix—including stiffness, porosity, architecture, molecular transport
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used to generate a training dataset for the cavity circulation emulator. The candidate will test different machine learning architectures and design appropriate, physically relevant metrics to assess
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