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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
scientific programming language such as Python, R, Javascript, or Matlab. Must have experience in analyzing remotely sensed imagery or other large geospatial datasets. Preferred Qualifications, Competencies
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accuracy and accessibility for subsequent analysis. Geospatial Analysis: Undertaking the processing of geospatial data and remote-sensing imagery, utilizing advanced analytical tools to derive meaningful
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, please click here . Duties & Responsibilities Manage geospatial data to support hydrologic research. This will involve, database management, workflow development and meta data development. Use
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(SISL) is seeking a motivated individual to support the development, testing, implementation, and deployment of software to support geospatial data analysis and remote sensing applications
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Laboratory (SISL) is seeking a motivated individual to support the development, testing, implementation, and deployment of software to support geospatial data analysis and remote sensing applications
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://infographics.uoregon.edu/ . Minimum Requirements (updated): To qualify for Research Assistant (Type B): • Bachelor's degree in spatial or design field • Two years’ professional experience working with geospatial and/or
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. • Experience with machine and deep learning modeling approaches and developing Bayesian models. • Multidisciplinary skills to bridge fields such as plant disease ecology, remote sensing data, and geospatial
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process with Okanogan-Wenatchee National Forests and create geospatial tools for wildfire, prescribed burning, and cultural burning related smoke trade-off analyses and quantitative forest landscape
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spatio-temporal modeling, GeoAI, or geospatial foundation models. Desired candidates should have an application focus where human–environment interactions are key to addressing societal challenges which
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the Critical Infrastructure Resilience (CIR) Group in the Human Dynamics Section, Geospatial Science and Human Security Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL