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Field
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Job Description Job Description Summary The Senior Data Engineer is a critical role responsible for automating geospatial data ingestion and transformation, optimizing ETL pipelines, and ensuring FAIR
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application supporting resilient development, responsible planning, and geospatial decision making. In partnership with other roles on the project, this position is responsible for building and optimizing all
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experience working with geospatial and CAD data, especially using ArcGIS Enterprise Experience creating maps, reports, dashboards, and user-focused content As the GIS Analyst for Parking and Public Safety you
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and carbon storage in actual and potential beaver occupancy scenarios. - Use/develop geospatial models for wildfire behavior and progression in and around riparian corridors influenced by beaver
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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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emphasis preferred). Postdoctoral training in digital health, prevention science, or related areas. Demonstrated expertise in AI, geospatial analysis, and mixed methods research. Strong publication record
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learning environment at Baylor College of Medicine that integrates data from diverse domains including the electronic medical record, geospatial and social information, and next generation technologies
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, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation, reinforced learning, flood modeling and impact analysis, complex system modeling
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Baylor College of Medicine that integrates data from diverse domains including the electronic medical record, geospatial and social information, and next generation technologies to support research
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vulnerability modeling, and (c) population and built environment exposure to climate hazards. The broad agenda of this research is assessing the fitness of geospatial indicators to inform conceptual and policy