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for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a joint project, please describe your specific contributions. Briefly
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genotyping), tissue sectioning and immunohistochemistry/immunofluorescence, confocal and light sheet imaging and quantitative image analysis, single-cell RNA-seq, as well as 2D cell line and 3D organoid
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, machine vision, AI/ML systems, or autonomous control to join our collaborative neuroengineering efforts. This person will build AI-driven robotic systems for high-throughput brain imaging and behavioral
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to study how these genes exert their functions in the mouse brain, using techniques such as: A variety of imaging strategies, mouse genetics, as well as cell and molecular biology techniques. What we provide
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the body during development and how defects in these processes can lead to birth defects and cancer. We use cell biological, genetic, biophysical, computational, and live-imaging approaches to visualize cell
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combine genetics, optogenetics, in vivo calcium imaging, and quantitative behavioral methods to uncover fundamental organizational and functional principles of the brain. For more information about the
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position in the lab requires high-level technical skills in microscopy and computational image analysis and experience in experimental biological research. Duties and tasks are complex in nature where
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electrophysiology, imaging, and behavioral methods, with rodents as the model system. A major challenge that makes learning difficult is that the world is complex and high dimensional: there are often multiple
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mouse models, including colonizing mice with defined microbiota, performing cell transfers into mice, harvesting and processing of mouse tissues for flow cytometry, genomics, and imaging studies Culture
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light microscopy imaging methodologies, including confocal, and light-sheet microscopy, hydrogel-tissue engineering, data analysis, and project management. 1-2 years of experience post-PhD is preferred