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laboratory partners to lower barriers to scalable, automated scientific computing. WES designs and implements workflow, data, and ecosystem technologies that enable reliable, automated execution of scientific
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, Podman. Monitoring, Analytics and Visualization - Prometheus, Grafana, Elasticsearch, Checkmarx. Other leveraged technologies include, but are not limited to Slurm, MPI, CUDA, and Harbor depending
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, implement and continually improve service offerings (e.g., large-scale geospatial compute pipelines, data ingest/curation/archive, analytics/visualization, user support). Establish operating policies, SLAs
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detection and counting, visual question answering, semantic segmentation, and change detection. This position resides in the GeoAI Research Group in the Geographic Data Science Section, Geospatial Science and
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troubleshooting, including soldering, desoldering, and hardware integration Demonstrated ability to organize, visualize, and communicate complex experimental and simulation data through high-quality figures
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, engaging technical and non‑technical materials including reports, newsletters, articles, announcements, and visual content. Maintain strong communication with stakeholders, effectively addressing issues and
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systems, data systems, ETL, analytics, visualization, computer driven distributed data processing, or similar geospatial research projects. Experience with open-source tools and system, OGC web services
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field. Preferred Qualifications: Collateral degree or background in information management or business analytics. Knowledge of UT-Battelle and DOE accounting systems. Experience with SQL Server and Visual
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field. Preferred Qualifications: Collateral degree or background in information management or business analytics. Knowledge of UT-Battelle and DOE accounting systems. Experience with SQL Server and Visual
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or background in information management or business analytics. Knowledge of UT-Battelle and DOE accounting systems. Experience with SQL Server and Visual Basic for Applications. Experience with SAP. Experience