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aim is to understand how pharmacological agents affect fenestrations and the microvascular architecture of the liver. Our work also involves developing improved methods for isolating and culturing
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music theory, rhythm cognition, and music information retrieval, the project will develop a novel, theoretical-analytical framework for the categorization of multi-part rhythmic patterns and their
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ambitious, multi-disciplinary and well-resourced group that is comprised of both wet-lab and computational scientists. Our group investigates the interplay between transcription factors and oncogenes using a
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in different research themes; and our research groups are organized around our themes. These groups are comprised of researchers from different disciplines, as our research projects are often multi
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. Building on recent work in music theory, rhythm cognition, and music information retrieval, the project will develop a novel, theoretical-analytical framework for the categorization of multi-part rhythmic
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the manipulation of performers’ gestures and/or vocalizations to examine interactions between the two; making either motion capture or multi-camera video recordings (for pose tracking) of human movement; preparing
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computational modeling to identify bacterial strains and metabolites that promote or hinder probiotic establishment. By combining multi-omics data with systems biology and machine learning approaches
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a novel, theoretical-analytical framework for the categorization of multi-part rhythmic patterns and their combinations across ensemble parts (e.g., drums, bass, guitar, voice) and genres
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in song performance; using experimental methods that involve the manipulation of performers’ gestures and/or vocalizations to examine interactions between the two; making either motion capture or multi
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, but with similar utilization of the in vitro platform. The project includes strong collaboration with technology partners that are developing a powerful, versatile, multi-functionalized in vitro