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simulation and experimental datasets, will establish a predictive digital twin that links pressure-driven gas flow with deformation-induced evolution of pore structure and membrane morphology. By capturing
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, detergents, nanodiscs, or lipid vesicles) Electrophysiology or nanopore recording (planar bilayer or solid-state setups) Structural characterization (cryo-EM, X-ray crystallography, or NMR) Ion channel or pore
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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molecular-level reaction mechanisms to materials performance. This is what you are going to do Synthesize and characterize porous MOFs and MOF thin films, including tailoring pore and surface chemistry and
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between peptides and surfaces, including MOFs, and unravel the physical mechanisms of their aggregation at these surfaces. Build a highly coarse-grained model for MOFs with tunable pore and surface
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are going to do Synthesize and characterize porous MOFs and MOF thin films, including tailoring pore and surface chemistry and loading selected peptides into the materials. Develop and run in situ ATR
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building materials? What reactions occur within the pore network? Which factors determine whether a treatment succeeds or fails in practice? As a PhD researcher in the CHEMBARIDA project, you will tackle