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California’s Central Valley. In this educational research project, we want to quantify spatial variations in root zone soil moisture variations in orchard crops as a function of cover cropping. In order to map
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of autonomously sampling a specified coastal region with fine spatial resolution and at temporal spacing as needed. The processed data can be offloaded directly or remotely to benefit military and civil sectors
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of wildlife ecology and/or infectious disease dynamics outside of a lab setting and collaborating with management agencies. Previous experience organizing spatial data, animal tracking data, publishing
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, Evaluation methods, Mixed methods research, GIS/spatial analysis, Community and/or transportation planning, and Data visualization. Point of Contact Rachel Eligibility Requirements Citizenship: U.S. Citizen
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rugged field tablets and QGIS software for ecological data entry, management, and spatial analysis. Apply field safety, endurance, and logistical practices associated with extended ecological research in
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stratigraphy, weak layer formation, and avalanche initiation. Enhancing spatial and temporal snowpack datasets through field measurements, automated instrumentation, and remote sensing. Collaborate
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ground. Here the atmosphere is to be characterized as a complex random medium with spatial-temporal fluctuations. Advanced computational techniques are needed. (2) Acoustic remote sensing