10 distributed-algorithms-"Meta"-"Meta" Postdoctoral positions at The Ohio State University
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Description The Humanities Institute and the Center for Folklore Studies at The Ohio State University is hiring for a Post Doctoral Scholar position in Folklore in the Age of Algorithms and AI for the upcoming
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Scholar position in Folklore in the Age of Algorithms and AI for the upcoming 2025/2026 academic year. The digital and social media platforms where we conduct much of our everyday expression today
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program of independent research with the primary goal of improving the algorithm codes used to characterize the Earth’s gravitational field. Duties will include specialized scientific/numerical analysis
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candidate will demonstrate a record of excellence in one or more core areas of quantum information, such as quantum computing, quantum algorithms, quantum simulation, quantum networks, or quantum sensing
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will be on developing new mathematical and algorithmic tools that advance our understanding of these areas and their connections. Possible research directions include explicit constructions of error
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| Electrical and Computer Engineering Performs research on characterizing the theoretical performance guarantee for various machine learning methods; and designing fast and efficient algorithms and analyzing
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community ecology, bryophyte taxonomy, and species distribution models. The results of the work will be used to direct bryophyte conservation efforts. Required: Ph.D. degree in a field of biological sciences
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background in analyzing large astronomical datasets is essential, particularly in characterizing non-isotropic distributions and spatial-kinematic properties using Gaia and/or DESI data. Proficiency in
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will also be considered. Strong background in analyzing large astronomical datasets is essential, particularly in characterizing non-isotropic distributions and spatial-kinematic properties using Gaia
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that govern time-dependent spectral energy distributions of black hole accretion disks, applying these models to X-ray and multi-wavelength data to extract empirical constraints on accretion flow physics, and