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endosomal escape events. The tasks include developing, training, and validating deep learning–based models for event detection and vesicle tracking, and integrating these models into automated analysis and
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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individuals, biochemical markers, cognitive testing, animal models, and cell biology experiments. Our long-term goal is to contribute to the development of new treatments for neurodegenerative diseases, where
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with polycrystalline model catalysts or well-defined surface systems experience with experimental studies under operando or in situ conditions experience with advanced data analysis or experimental
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inhibitors, nanoparticles, and specific antibodies targeting these interfaces as treatments for infections. Within the research group, we use methods in molecular biology, cellular infection models