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Field
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expected to have experience in hydrologic/hydraulic modeling and in one or more of the following topics: in situ sensor installation and flood monitoring, GIS & geospatial big data, AI/ML and data science
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to conduct biogeochemical and geomorphological research, including field data collection and analysis using remotely sensed imagery and geospatial data. The scholar will conduct scientific literature reviews
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, Goldberg, and Kerr in order to advance their career in academic research, public health practice, and/or public policy. Important geospatial datasets used for this research include chemical transport
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representatives and state animal health officials across multiple states. System Development – Based on experience, contribute to developing new RABapp functionalities, including geospatial analytic tools. Lab
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Development – Based on experience, contribute to developing new RABapp functionalities, including geospatial analytic tools. Lab Coordination – Assist with scheduling and maintaining Machado Lab activities
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and fission Deliver science and technology to address complex national security challenges in cyber resilience and intelligence, geospatial sciences and human security, and nuclear nonproliferation
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point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation
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, Geospatial Science, Data Science, Computer Engineering, or a closely related field, with an emphasis on machine learning, AI, remote sensing, computer vision, or interdisciplinary data science applications
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 1 month ago
institution specializing in geospatial research and multi-modal data collection and mixed-method analysis, used to develop community-informed solutions to social problems around housing and neighborhoods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI