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electrophysiology to translational models, including animal studies and analyses of human tissue samples. This full-stack methodology enables us to directly link molecular channel function with disease phenotypes
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); novel obfuscations and obfuscation recipes to defeat LLMs and other AI-based reverse engineering tools; the use of AI techniques and LLMs to optimize reverse engineering strategies; modeling techniques
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locally stored internal models of the environment. With existing edge solutions as baseline, a design solution will be explored to cope with the hardware constraints and the impact on energy
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critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational electrophysiology to translational models
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-pathogen interactions using in vitro model systems mimicking chronic diseases. The project foresees ample collaborative opportunities with research groups in the MICRO-PATH consortium, spanning
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will employ advanced in vivo models and spatial technologies to dissect the roles of tissue-resident macrophages and infiltrating immune cells along the periphery–immune–brain axis. About us The research
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating these theoretical insights with the structure and activity
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pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
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environmental, economic, and social sustainability of offshore wind farms (OWFs) across their full lifecycle. The platform will integrate life cycle assessment (LCA), marine ecosystem impact models, and a digital