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derived oxygen and water vapor) as a model for cell fate, cell polarity and flexible, adaptive development. We use a variety of genetic, genomic, imaging and modeling techniques to investigate tissue
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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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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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trained on some or all of: fly (Drosophila melanogaster ) and fish central nervous system dissection, immunohistochemistry, expansion microscopy for connectomics, and imaging including confocal/light sheet
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the guidance of a senior lab member, this role will be involved in experiments related to mosquito behavior, sensory perception (chemosensation, mechanosensation), imaging techniques, and gene expression
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information and control behavior in mice and songbirds. We place particular emphasis on advanced optical approaches, including multiphoton microscopy, Bessel-beam imaging, and closed-loop patterned stimulation
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they continue to investigate. Approaches include genetics, spatial genomics, single-molecule biophysics, super-resolution imaging, computational modeling, and structural studies including X-ray
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for a postdoctoral associate position, ideal candidates will have experience and prior training in some of the following areas: Programming in Python and/or Matlab. Electrophysiology, calcium imaging
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. Our lab uses a broad range of techniques including proteomics, genomics, metabolomics, biochemical in vitro reconstitution, fungal genetics, and live-cell imaging. The ideal candidate for this role will
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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