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gaps in our understanding of disease biology and treatment response in Black men. Our project aims to close these gaps by developing cutting-edge induced pluripotent stem cell (iPSC) models that better
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driving sex-specificity in tumorigenesis, organismal development, and spatial biology of the liver. To do so, we intersect large-scale genetic analysis utilizing experimental models with spatial and single
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teach undergraduate courses such as: GEOG 141: GIS I: Data Display and Manipulation GEOG 142: GIS II: Data Creation and Project Implementation GEOG 143: GIS III: Spatial Analysis and Modeling or other
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acquire advanced expertise in navigation models, spatial representation, object representation, and relational knowledge representation, as well as in planning algorithms based on probabilistic models and
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, antigen presentation and trained immunity) using mouse models that enable CPT1A gain or loss of function. Furthermore, the bioenergetic profile of macrophages both in vitro and ex vivo will be assessed
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-carrier (SC) techniques described in [3], the narrowband beamforming model, where signals received over different antenna elements are identical up to a phase shift, may become invalid so that additional
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the colonial context constituted a condition of possibility for the implementation of organizational models previously confined to the realm of imagination. Furthermore, to what extent did this context, by
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. XV produces a very rich 4D dataset (3 spatial dimensions + time), showing lung expansion and contraction, and we are working on understanding the best methods for interpreting this data. The successful
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spatial and temporal data analysis using advanced machine learning technologies. The successful candidate will become a part of an interdisciplinary team working to develop machine learning techniques
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for single-cell and spatial omics Deep learning and representation learning to model cellular states and interactions Explainable AI for biomarker discovery and patient stratification Cross-disease modeling