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. This position offers 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
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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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area. This position offers the opportunity to contribute to a methodologically innovative project at the interface of neuroscience, engineering, psychophysiology, human behavior and computational
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constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms. The project will consider
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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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the opportunity to contribute to an internationally competitive research programme at the interface of proteomics technology development, regulatory protein biology, and cancer research. Expected start date and
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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