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confidential spatial health data, including differential privacy and other secure geospatial data protocols. This research will advance our understanding of how major infectious diseases of concern in the UK
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engineering, geoinformatics, computer science, or a related field with a focus on deep learning applied to remote sensing or geospatial data Documented experience with deep learning model development (e.g
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field (obtained within the last 3 years). Technical Expertise: Solid experience in processing Optical and SAR imagery and geospatial analysis. Programming: Proficiency in Python for EO data science (e.g
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on reproducibility and open-source best practices. Demonstrated experience in geospatial data analysis and the management of large, gridded meteorological or environmental datasets (e.g., NetCDF
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(meteorological, hydrological, hydraulic, traffic, LiDAR, and DEM/BLE datasets). Build reproducible pipelines in Python/R/Julia/SQL for big data geospatial applications. Utilize cloud and HPC resources for model
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months ago
satellite measurements of air quality events. This position will also afford opportunities to contribute to a NASA-sponsored sensor and remote sensing database, including work on ArcGIS mapping, geospatial
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environments (MPI, batch schedulers). Hands-on experience with geospatial data processing (NetCDF/HDF5, GDAL, xarray) and coastal datasets (e.g., GEBCO/ETOPO, USGS/NOAA/NCEI), including mesh generation and
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datasets, geospatial and remote sensing tools (e.g., Google Earth Engine). Grid modeling and planning, either through development of bespoke capacity expansion and/or production cost models, or application
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livable cities. The ideal candidate would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data
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would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data visualization, and community engagement