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to enable downstream APIs and feature services Develop ETL workflows for cross-domain spatial data integration using staged refinement (e.g. Medallion Architecture) Engage with UF faculty leading FLDT
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learning, and the use of Gen AI APIs in research Experience in behavioral archival research or working in interdisciplinary teams Strong writing and communication skills Essential Functions: Collaborate
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Consistently exhibit engaging customer service Ability to support various constituencies served by the University Proven proficiency with computers including Microsoft Office, Google, and/or applications as
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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Microsoft Office, Google, and/or applications as required for specific position KNOWLEDGE Adhere to University policies and procedures to meet Institutional goals and support University's mission for student
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democratic institutions. Experience and expertise in understanding and summarizing the substantive content of legislation, especially at the state level. Proficiency in managing databases in Excel and Google
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developing custom tools and end effectors for robotic assembly Good knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommon Real-world architecture and/or construction
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app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond!” Application Deadline 9/12/2025 3:00:00 PM Eastern Time Zone
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
), especially using Google Earth Engine (preferred). - Proficiency in Python, JavaScript, or R for geospatial analysis and modeling. - Experience handling large-scale Earth observation data, including cloud-based