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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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paradigms; cognitive, brain-inspired and neuromorphic computing, human-machine interface technologies; advanced heterogenous architectures based on integrated commodity components, special purpose
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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sequencing, bulk RNA-seq, and single-nucleus RNA/ATAC using R, python, command line interface and high-performance computing clusters Thorough documentation and communication of experiments and findings with
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tools for interfacing with the brain, including genetically encoded voltage indicators (GEVIs), optogenetic silencers, and fluorescent proteins. We welcome candidates with diverse expertise, which may
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities. The successful candidate will work at the interface of computational
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
disrupted by neurological disorders and injuries. The lab uses high-density neurophysiology (Neuropixels), high-density spinal stimulation, brain-spine interfaces, computational modeling, computational
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integration of transplanted stem cells. We expect the fellow to be highly motivated, independent and innovative. The applicant can expect to receive career mentoring from faculty of the Program of Image Guided