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on an NSF-funded project involving geospatial modeling, AI/GeoAI methods, and spatial data integration. · Design, implement, and evaluate deep learning and/or generative AI models using large-scale geospatial
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
integration, modeling cancer vulnerabilities, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications
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: The core of this research lies in understanding knowledge work systems—how knowledge is produced, shared, and applied across complex domains. Using large-scale data from scientific articles, patents, grants
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on emergency medicine health services, care transitions, and population-level outcomes. Utilize advanced quantitative methods to analyze large healthcare datasets, including Medicare and Medicaid claims (MedPAR
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vision transformer or large vision AI model Expertise in high performance computing Expertise in image and spatiotemporal data processing Expertise in federated learning on large computing clusters A
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Posting Information Posting Details Department Physics and Astronomy - 319000 Posting Open Date 11/24/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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Science Lab is seeking a highly-motivated postdoctoral scholar to lead a large-scale, community-based, clinical trial of behavioral treatment for childhood obesity. The Solutions Science Lab designs
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efforts to analyze several large, rich corpuses collected/built via these grants (e.g., videos of hundreds of large groups trying to reach consensus, real-world court data on racial composition of juries
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subject to continuing based on the availability of funding. The work will focus on the production of large polarimetric maps from the SOFIA data. The position is planned for two years, with a possible