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interest is to use the 3D ovarian tissue culture model and microfluidic and organ-on-a-chip technologies for new contraceptive discovery. More information about Dr. Xiao’s research can be found at https
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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in static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image/video synthesis. Overall, the main focus is on high-impact research with the aim
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
service. Position Summary A postdoctoral research position is available immediately to investigate the utility of in vitro models (e.g., hepatic organoid 3D cell models, sandwich-cultured hepatocytes, HuH-7
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DNA methylation in a 3D neurosphere model in vitro, and (3) characterizing mechanisms underlying synaptic deficits in an in vivo two-hit exposure model of Parkinson’s disease. Rutgers University is one
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recapitulating neural-microglia interactions, as well as establishing fluorescence lifetime imaging microscopy (FLIM) approaches and analysis pipelines to perform non-destructive monitoring of neuronal function