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. The goal of this work is to understand how neural circuits drive behaviors such as navigation and state-dependent responses. This role involves deep learning–based data processing of calcium imaging
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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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other researchers or the public, particularly for post-publication studies (e.g., through repositories, publications, or restricted access). Understand and assist in specifying and complying with data
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imaging. Through collaborations, we use cryo-electron microscopy and cryo-electron tomography for structural studies. For more information about Dr. Samara Reck-Peterson and the lab, please visit: https
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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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, 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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spectrometry-based data analysis, particularly in quantitative label-free and/or stable isotope labeling proteomics data analysis, global and targeted metabolomics and lipidomics, MS imaging, as
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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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zebrafish and mouse models, including microinjections, live imaging, and behavioral studies. Apply molecular biology techniques including PCR, cloning, and genotyping. Perform in vivo imaging and high
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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