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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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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 11 hours ago
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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of agricultural water use. Specific focus areas include applying AI/ML to analyze remote sensing and sensor data for predicting crop water requirements, advancing irrigation scheduling, and supporting real-time
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remote sensing scientist to work on a NASA funded project evaluating vegetation trajectory post-disturbance across the ABoVE domain (NASA, https://above.nasa.gov/sites.html ). Position Number 4C0029
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
The large collaborative project ‘3D-ABC’, funded for 3 years by the Helmholtz Foundation Model Initiative, will focus on the development of a Foundation Model combining large remote sensing and field datasets
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data. Experience working with remote sensing data. Two years of experience using advanced statistics. Excellence in the field as demonstrated by relevant publications, or a fellowship in quantitative
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
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data. Experience working with remote sensing data. Two years of experience using advanced statistics. Excellence in the field as demonstrated by relevant publications, or a fellowship in quantitative
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
to estuary using satellite remote sensing and data analysis. The specific research focus is flexible, offering the opportunity to develop and pursue new ideas within the broader scope of the project. Minimum
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team