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, at Harvard Medical School studies the molecular basis of sensory transduction, using cryo-electron microscopy (cryo-EM), electrophysiology, calcium imaging, computational modeling, and behavioral experiments
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optimize new techniques such as tissue clearing, expansion microscopy, and large-scale RNA labeling. All in support of research to develop new molecular tools and imaging, to understand neuronal circuits
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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
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adept at computer programming, has a strong command of statistical data analysis and data visualization, who will work as a Computational Biologist. As a Ph.D. Data Scientist, you will join a dynamic team
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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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systems throughout every stage of the scientific process in labs across HHMI. The AI initiative will be centered at HHMI’s Janelia Research Campus. Janelia has been at the forefront of AI-driven research in
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from tissues for downstream analysis. Perform flow cytometry, histological analyses, and imaging-based ferroptosis assays. Analyze single-cell and spatial transcriptomic data in collaboration with
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/) at Harvard Medical School and the Howard Hughes Medical Institute in Boston is seeking a highly motivated Research Technician to support our efforts to study genome maintenance and how defects in this process
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body in Drosophila and bumblebees as model systems. Our research integrates genetic tools, high-throughput behavioral analysis, EM connectomics, expansion microscopy, mass spectrometry, calcium imaging
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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