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in vitro tissue models ideally need to account for the complexity of ECM composition, extracellular and intracellular forces, and reproduce specific microenvironmental conditions. This doctoral project
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, flexible materials, bio-based foams, recycled fibers, adaptive textiles, fabrics, padding materials, and composite structures. It will also address the reduction of environmental impact while extending
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safety. The goal of this PhD project is to increase knowledge of thermodynamic and material processes in marine hydrogen propulsion systems and to develop predictive models that ensure safe and efficient
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imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in micrometer resolution, allowing validation of the model predictions. Validation and evaluation
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at cell membranes to regulate key processes in cellular signaling. By combining computational modeling with experimental data, the project aims to uncover how molecular features shape mesoscale cellular
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at industrial partners at TRL 6. Our objectives: Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as