38 parallel-and-distributed-computing-"UNIS" Postdoctoral positions at Cornell University
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Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information
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both marine and freshwater environments to estimate distribution and abundance of fish and larger invertebrates and Cornell is at the forefront of the application of these methods in lakes. We are now
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will use available and new data collected with active acoustics (sonar) in the Laurentian Great Lakes. Hydroacoustics is used worldwide in both marine and freshwater environments to estimate distribution
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. Hydroacoustics is used worldwide in both marine and freshwater environments to estimate distribution and abundance of fish and larger invertebrates and Cornell is at the forefront of the application
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species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify priority areas
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experience in statistical modeling, who is also interested in or has experience with species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will
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experience with species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify
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starting in September 2026. The position requires a Ph.D. and experience in numerical relativity or computational physics. The position is for one year, with subsequent renewals depending on performance and
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-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in
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Postdoctoral Researcher - Automation for Small-Scale Water Treatment The VersaWater collaboration, led by Cornell University and supported by the National Science Foundation's Convergence Accelerator program in