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of mathematical models of biological processes or phenomena, in the presence and absence of pathologies. - - Development and validation of algorithms for the processing of diagnostic biosignals, also using
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, the selected researchers will deal with: Research & Development: Designing, developing, and implementing state-of-the-art machine vision and deep learning algorithms to analyze complex image and sensor data
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Nanomaterials that detect protein-structural changes Nano-optical devices for protein-signal sensing AI algorithms for protein structure and dynamics prediction Outstanding Postdoctoral Training Strategy
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network regulating phenotypic switches at both the molecular and cellular levels, with special attention to the role played by biological noise and the spatial distribution of molecules within the crowded
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and the data analyses of mass spectrometry data. Attending a total of six months secondments to learn novel algorithms form improving fecal MP samples' taxonomic and functional characterization
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are an advantage. Proactivity and the ability to solve problems independently. Ability to work in a distributed, multidisciplinary research environment. LanguagesENGLISHLevelExcellent Research FieldComputer science
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. Our approach includes: (1) Imaging cilia and ciliary components in pancreatic tissue using expansion microscopy to map their distribution and structure in detail. (2) Utilizing a novel AI-based method