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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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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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Earth Observation data including Satellite Remote Sensing together with Soil and geospatial datasets. The All-Island Climate and Biodiversity Research Network (AICBRN) brings together researchers from a
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system optimization for remote construction. This position will focus on advancing research in construction assembly science and technology, logistics optimization, and real-time communication frameworks
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project will involve both remote-sensing and field-based observations and data collection. It will provide outputs to the World Bank CAWEP (Central Asia Water Energy Power) programme to aid the design
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Putts; and inflammatory genetics. The successful candidate will support other researchers and MSc/PhD students. They will develop novel scientific questions and lead on the analysis of specific aspects
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
: 304827 Vacancy ID: PDS004622 Position Summary/Description: The position will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors including optical sensors (like Landsat) and other radar sensors. It may
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We are seeking an experienced Earth Observation and Modelling scientist who has knowledge of, and expertise in analysing Earth Observation data including Satellite Remote Sensing together with Soil