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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
on sources such as NSF NEON, Forest Observation System data, and FIA inventory datasets. A distinctive component of the role is advancing natural-language interaction with geospatial forest products
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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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• Enhancing and deploying computational platforms such as Cornell TEAM-Cities, CATChain, uTECH, etc. • Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic
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to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial
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Posting Summary Logo Posting Number RTF00028PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156385 Business Title (Internal Title) Post-Doctoral
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socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial datasets and remote sensing pipelines, (2
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, sustainable and resilient net-zero society. The postdoctoral position will conduct research on state-of-art AI models with the specific goal to improve geospatial imagery analysis Essential Duties and
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Appointment Term: July/August 1, 2026 to June/July, 2027 (renewable) Appointment Start Date: August 1, 2026 (flexible) Group or Departmental Website: https://pedl.sites.stanford.edu/ (link is external) How
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and/or performance. Appointments include conducting research or project management under the direction of a faculty member. Examples of current and past projects can be found at http
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
models to approximate posterior parameter distributions and guide efficient exploration of inversion problems. Beyond workflow acceleration, we envision constructing an ISSM-specialized geospatial