62 phd-in-architecture-and-built-environment Postdoctoral positions at Cornell University
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environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple
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from several federally funded projects that have been recently completed. The Postdoctoral Associate will have the opportunity to lead efforts to analyze several large, rich corpuses collected/built via
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are the impacts on individuals, households, markets, the agri-food system at large, and the environment? MIXTAPE will leverage existing national datasets (including remotely sensed data) and will conduct a mixed
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from several federally funded projects that have been recently completed. The Postdoctoral Associate will have the opportunity to lead efforts to analyze several large, rich corpuses collected/built via
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what are the impacts on individuals, households, markets, the agri-food system at large, and the environment? MIXTAPE will leverage existing national datasets (including remotely sensed data) and will
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Cornell University, Department of Natural Resources and the Environment Position ID: Cornell-Department of Natural Resources and the Environment-DAVISPD [#30764, WDR-00055395] Position Title
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–driven coagulant dosing). Desired qualifications: ● PhD in Environmental Engineering, Electrical/Computer Engineering, Applied Physics, or a related field. ● Strong programming skills (Arduino
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Postdoctoral Associate Academic Job Description Department of Natural Resources and the Environment Postdoctoral Associate: Forecasting changes in avian biodiversity under changing climate
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the subglacial environment to characterizing shifts in the environment as solar forcing increases and the sea ice starts to break out. Traditional water sampling via Niskin bottles, as well as small water samples
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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