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Demonstrated expertise in programming languages (postgis, SQL, Python, R, Arcade, JavaScript) for geospatial analysis and automation. Describe your expertise in programming languages (postgis, SQL, Python R, Arcade, JavaScript) for geospatial analysis and automation.
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Possess relevant knowledge and experience with digital cartography, image processing, computer technology, geographical information systems, geospatial production techniques, and digital data formats.
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Teaching Faculty in Remote Sensing And Geospatial Artificial Intelligence (GeoAI) in Natural Resourc
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The Department of Environment and Society (ENVS) at Utah State University (USU) invites applications for two term appointment faculty teaching positions (Lecturer or Professional Practice Assistant Professor) to support a new program in Remote Sensing and Geospatial Artificial Intelligence (GeoAI.
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Programming: You are proficient in Python or other high level programming language with experience in using geospatial and machine learning libraries (eg., OpenCV, TensorFlow, PyTorch etc). Description: Position Overview We are seeking a highly skilled and experienced Geospatial Data Scientist with a strong background in remote sensing and image processing to join our team.
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Experience in geospatial surveying or 3D laser scanning and related analysis software, especially Leica and Faro workflows. They will routinely interface with robotics hardware & software, field testing infrastructure, 3D geospatial surveying & scanning systems, construction design software, and construction management software.
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Certified GIS Professional (GISP) certification, National System for Geospatial-Intelligence (NSG) GEOINT Professional certification, Army GEOINT/Imagery Analyst Leadership Course, or Army Foundry GEOINT training or comparable certification.
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Experience being a client or senior project manager for large federal contracts and programs such as USGS, NOAA, or USACE geospatial contracts. · Knowledge of lidar, topobathymetry, photogrammetry, hydrography, airborne data acquisition, satellite imagery and SAR, and other geospatial sciences.
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Manage an international geospatial team for geospatial project execution, including remote sensing and GIS data acquisition, processing, and reporting. The Manager - Geospatial Science will oversee the geographic science, analysis, and reporting tasks as they relate to Greenhouse Gas (GHG) accounting, supporting the delivery of best-in-class carbon credits across all Wildlife Works' projects and partnerships.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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The successful Remote Sensing Scientist candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines.
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All About YouThe Department of Aerospace & Mechanical Engineering in the School of Science and Engineering (SSE) of Saint Louis University (SLU) seeks exceptional candidates who are working in the intersection between aerospace engineering and geospatial applications.
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The Geospatial Senior Project Manager will be responsible for leading a team and coordinating all aspects of aerial mapping projects from inception to completion. Our licensed professionals transform petabytes of complex spatial data into intelligent insights in a holistic Managed Geospatial Services™ (MGS™) framework.
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Bryce Space and Technology is looking for an experienced FEMA analyst with Geospatial Information System (GIS), emerging threat identification, risk analysis, CBRN/Non CBRN Threat assessment experience to support the DHS FEMA, Office of Emerging Threats Professional and Technical Services Contract.
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Candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines.
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Experience conducting complex geospatial analyses utilizing ESRI’s ArcGIS Pro. Experience with or interest in learning version control and coding best practices using Git/GitHub. Demonstrated statistical experience in traditional frequentist methods and artificial intelligence/machine learning applied to an environmentally related discipline.
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