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Field
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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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of the beach and bays, TAMU-CC is a first-choice institution. The Conrad Blucher Institute for Surveying and Science (CBI) at TAMU-CC is a collaborative research environment utilizing geospatial science to
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). The degree track prepares students in geospatial and sensor technologies, precision agricultural systems, and data analysis and modeling, to enable data-driven decisions that improve economic and environmental
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or willing to learn geospatial analysis. Self-motivated Willing to pursue research objectives stated in the projects’ descriptions. Quantitively minded A background in Oceanography, Remote Sensing, Meteorology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
scientific programming language such as Python, R, Javascript, or Matlab. Must have experience in analyzing remotely sensed imagery or other large geospatial datasets. Preferred Qualifications, Competencies
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: Visualization and Decision Support; Navigation Research and Development; Spectrum and Signatures Solutions; Geospatial, Image, and Data Science; and Multimodal Sensing and Systems. A2SO operates in a dynamic
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://infographics.uoregon.edu/ . Minimum Requirements (updated): To qualify for Research Assistant (Type B): • Bachelor's degree in spatial or design field • Two years’ professional experience working with geospatial and/or
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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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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
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of particular interest include, but are not limited to: precision agriculture technologies, remote sensing and geospatial imaging, multi-sensor data fusion, IoT and sensor networks for environmental monitoring