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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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Position Details Position Information Recruitment/Posting Title Watershed Planning Specialist Posting Number 26TM0327 Department Remote Sensing Overview The School of Environmental and Biological
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personnel and collaborating with producers, Extension or interdisciplinary teams Experience with agricultural equipment, field instrumentation, remote sensing, UAVs, sensor networks or environmental
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Department of Earth and Environmental Sciences Irving K. Barber Faculty of Science UBC Okanagan The Fire Ecology and Remote Sensing Lab in the Department of Earth and Environmental Sciences at the University
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field. Familiarity with the Google Earth Engine API or processing heavy raster/remote sensing data. Understanding of techno-economic modelling, renewable energy systems, or agricultural supply chains. A
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approaches. Experience working with global livestock, land-use, climate, remote-sensing. Satellite images, or sustainability indicator datasets. Competence with GIS tools and spatial analysis software
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remote sensing of vegetation, e.g. spectral mixture analysis. Other merits We are particularly interested in candidates with: Experience with web-GIS development or geospatial data visualization
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, or reproducible research workflows. Knowledge of one or more of the following: GIS, remote sensing, computer vision, image processing, machine learning, spatial statistics, or map-based data fusion. Experience
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or Green Card sponsorship. This position does not offer a STEM OPT training program. Qualifications Required Qualifications: BA/BS degree in Remote Sensing, GIS or similar science/geography field plus
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
the western United States. The project will provide hands-on experience in satellite remote sensing, geospatial analysis, wildfire science, and multi-sensor Earth observation, complementing the participant’s