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by collecting relevant data from 2D, 3D, or 4D images. Perform computer automated analysis and quality control on large data sets. Liaise effectively with other groups at Janelia to manage multiple
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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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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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) and the Schnitzer Lab (Stanford University; HHMI), seeks a Staff Robotics Engineer to design and build AI-driven robotic systems for high-throughput brain imaging and behavioral phenotyping in
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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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interpretation, in particular image processing and analysis Present research reports and scientific data internally and externally in a cross-discipline environment Routinely review research activities against
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microscopes, and cryo grids preparation equipment. The main function of the facility is 1) high-throughput, high-quality data collection on user-provided ready-to-image cryo grids utilizing either single
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microscopy tools for visualizing critical biological processes deep within their native context, with a particular focus on applications in neuroscience. To this end, the lab combines tools from physics and
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have created a rich, flexible behavioral paradigm where mice search for hidden food items in a large, dark arena, guided by hard-to-locate sounds. We are using this assay to ask: how do animals use
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and pose estimation, microscopy image acquisition and/or physiological recordings, video game engines, multiple displays, etc.) as well as development of geometrically precise, reconfigurable, closed