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fluidic models to interface with appropriate imaging and analytical methods such as optical microscopy, SEM, real-time AFM, Raman microscopy, nano-FTIR. Use the validated models to study the dynamics
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, quantitative characterization, and machine learning-enabled decision-making. The position is associated with the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective
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(measuring effective permeability, diffusion, and adsorption) in rock samples with nano-Darcy permeability with analytical or numerical modeling to investigate how dynamic stress-sensitivity governs macro
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