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Field
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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Requisition Id 17092 Overview: The Environmental Sciences Division at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to join the Earth Systems Modeling Group (ESMG
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PhD in Bridging Physics and Earth Observation: Geospatial foundation models for real-time flood mapping. Award Summary 100% Home fees covered and a minimum tax-free annual living allowance
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recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. JOB SUMMARY The Geospatial Research Scientist or Senior Geospatial
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experience. Job Description: Data management, integration, and analysis: Develop and implement data-management procedures for complex environmental and geospatial datasets supporting Everglades restoration
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with the aims of the funded project. Job Duties Use R and Geographic Information System (GIS) software to generate geospatial predictor datasets for air pollution models. Use high-performance computing
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and exploring technological advancements in the field. Background and Objectives As part of the project titled “Development of an Intelligent Geospatial Interface for Panel 8 of the Benguerir Phosphate
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, user workflows, resource allocation models and performance metrics. Innovation & Thought Leadership: Identify and integrate emerging geospatial/HPC technologies (e.g., ML Ops for geospatial data, real
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monitoring, environmental justice, or natural resource management. Experience with remote sensing, drone-based data collection, spatial modeling, geospatial data science, or geospatial artificial intelligence
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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study