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required) skills: experience in any of the following areas is especially valued: synaptic plasticity, Python programming, structural biology, AI / machine learning, calcium imaging, FRET sensors
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-disciplinary approach that includes multi-cell patch recording (up to 12 simultaneous recordings), morphological recovery, single-cell RNA sequencing, optogenetic techniques, and machine learning. Using
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recording, machine learning, and complicated genetic tools to understand cellular heterogeneity and circuit organization of healthy and diseased brains. The fellows will use rodent and primate models
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