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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
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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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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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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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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