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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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scientific initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and
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that specifically and reversibly bind to the biomolecules of interest. In this PhD project, you will explore a novel direction: you will develop and test binder molecules for continuous sensing using de novo protein
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advanced bio-manufacturing. The continuous sensing technologies studied in the Molecular Biosensing group at TU/e (see www.tue.nl/mbx ) exploit reversible single-molecule interactions, a concept that is at
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patient care, advanced biomanufacturing, the monitoring of ecological systems, and fundamental biological research. The heart of the continuous sensors are binder molecules that specifically and reversibly
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crystal elastomer coatings. These materials can reversibly change their shape, surface texture, stiffness, and adhesion in response to external triggers such as heat, light, or electric fields. You will
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, 2020. Light-switchable propulsion of active particles with reversible interactions 6. Susana, et al., Nat. Communi, 14,7896, 2023. A colloidal viewpoint on the sausage catastrophe and the finite
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propulsion of active particles with reversible interactions Susana, et al., Nat. Communi, 14,7896, 2023. A colloidal viewpoint on the sausage catastrophe and the finite spherepackingproblem Where to apply
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this challenge by developing cholesteric liquid crystal polymer coatings that selectively reflect projected light toward the user while maintaining high transparency from the opposite side. The PhD project will