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techniques (e.g. multiphoton in vivo imaging, fiber photometry, EEG/EMG recordings, chemogenetic manipulation, and gene manipulation), the PI’s lab plan to interrogate glial and neuronal contributions
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). Taking advantage of multiple state-of-the-art techniques (e.g., gene profiling, virus-mediated circuit tracing, calcium imaging/optrode recording, fiber photometry, EEG/EMG recordings, patch clamp slice
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-of-the-art techniques (e.g. multiphoton in vivo imaging, fiber photometry, EEG/EMG recordings, chemogenetic manipulation, and gene manipulation), the PI's lab plan to interrogate glial and neuronal
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Geant4, is highly preferred. Background in machine learning, medical imaging processing, and optimization, ideally with demonstrated experience in deep learning applied to medical image analysis (e.g
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Postdoctoral Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics
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. Preference (but not requirement): Successful applicants should be highly motivated, curious, and willing to analyze complex imaging, biomarker, and survey data. They will have completed a Ph.D. or M.D. in
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Qualifications PhD in scientific field Supplemental Qualifications Previous experience with tissue culture, basic molecular and biochemistry assays, handling mouse lines, histology staining and imaging, and