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: ERIK | Artificial Intelligence Hub About the AI(X) Hub The Post Doctoral Scholar will join the AI(X) Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University
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The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications
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intelligence for translational neuroscience, with a focus on understanding how cognitive computations emerge from cortex-wide neural dynamics across species. The PDRA will contribute primarily to developing and
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 7 hours ago
Zone Description The U.S. Department of Energy (DOE) Office of Intelligence and Counterintelligence (IN) is seeking Scholars to engage in projects and activities related to IN's mission. IN is
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developing anatomy driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive computations emerge from cortex-wide neural dynamics across species. The PDRA will
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Research, the Institute for Computational and Mathematical Engineering, the Human-Centered Artificial Intelligence initiative, and numerous other interdisciplinary partners across campus. This rich
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captures neural activity and intelligent behavior at unprecedented scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and
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Postdoctoral Fellow and a Postdoctoral Associate Artificial Intelligence, Technology, & Precision Nutrition Cornell University is seeking applications for two postdoctoral associate positions: a
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together with Jendrik Seipp, Senior Associate Professor in Artificial Intelligence at LiU. The research projects for the advertised position will be in the areas of automated planning and machine learning
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Postdoctoral Research position supports advanced research in artificial intelligence, energyefficient computing, foundational mathematical models, high-performance computing, dimensionality reduction, and