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Field
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Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
animal models to study fundamental aspects of the immune system during health and disease and interactions between human-specific pathogens and their host. Our work is funded by multiple NIH grant awards
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Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
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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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responsibilities: - implement, develop and extend methods for processing and analyzing single-cell RNAseq and protein profiles (CyTOF) - develop methods for second level analyses e.g. interaction networks
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), and state-of-the-art functional technologies (CRISPR, siRNA, shRNA, and other gene manipulation techniques). Our work is published in top-tier journals - Cancer Research, Clinical Cancer Research
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lead cutting-edge research programs in molecular, cellular, and systems physiology. The Baltimore campus offers state-of-the-art core facilities for microscopy, imaging, genetics, genomics, proteomics