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to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and molecular
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the opportunity to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and
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, computational musicology and music theory, music cognition, spatial/immersive audio, generative music systems, human-computer interaction, machine improvisation, musical robotics, and/or new interfaces
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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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the Laboratory for Interaction of Machine and Brain. The scholar would be a part of a research program funded by Meta at the intersection of neural engineering, human–machine interaction, ethics, and
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simulated and measured results to assess quantities of interest. Interface with world-class exascale computing clusters. Work with a dynamic team of researchers, developers, experimentalists, and model
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external) is reimagining the experimental neuroscience pipeline with big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that
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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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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