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Automate remote sensing, geospatial, or climate science workflows. Knowledge of programming languages like SQL, Python, R, or Scala. ERM is seeking a Senior Methane Emissions Specialist / Data Scientist to join its Geospatial and Climate Solutions team, based in Washington, DC. The Methane Emissions Specialist / Data Scientist will work alongside specialists in climate science, data science, and geospatial analysis to help develop efficient workflows and tools for our quickly growing portfolio of work as well as strategies to directly measure methane emissions.
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We are seeking dedicated Computer Scientists to apply programming skills and engineering practices to systems problems, software/testing frameworks, and data processing architectures for ensuring stability and reliability of remote sensing satellite ground systems.
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Ability to teach undergraduate courses in Digital Earth, Geographic Information Systems, Remote Sensing, and/or GIS Programming, as evidenced by academic transcript, work experience, or other demonstrated experience.
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Desirable skills and experience include synthetic aperture radar image science or analysis; other remote sensing imaging such as multispectral; programming and script development; data science; Python, Databricks, Jupyter Notebook; Intelligence Community analytical workflows.
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AMA is seeking a research scientist to support NASA Langley Research Center’s Hyperspectral Remote Sensing Group, focusing on the development of artificial intelligence (AI) based radiative transfer models (RTM) for satellite data analysis.
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Experience with Python language and development environment OR multiple other programming languages such as C#, R, Java; knowledge of ArcPro or ArcMap; experience with computer vision or natural language processing suites/models; experience with cloud services (AWS or Azure) and in areas of Geospatial Information Science (cartography, geodesy, photogrammetry, geophysics, and remote sensing.
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Prior remote sensing research experience is required, along with strong skills in statistical data analysis and scientific programming (Python, R, Matlab, or similar). The Department of Earth and Environmental Sciences at Syracuse University seeks applicants for a Postdoctoral Researcher position in snowmelt detection using satellite remote sensing.
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Olemiss.edu Job Description The UM’s National Center for Computational Hydroscience and Engineering (NCCHE) is seeking a full-time Postdoctoral Associate with experience in Computational Hydroscience, Environmental Engineering, Applied Earth Science, and/or Remote Sensing and Geospatial Technology.
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Possess proficiency in programming languages commonly used in geospatial analysis, such as Python, R, or MATLAB.Demonstrate strong theoretical and practical knowledge of remote sensing principles, image processing techniques, and geospatial analysis methods relevant to carbon monitoring and climate analysis.
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The Intelligence and Space Research (ISR) Division at Los Alamos National Laboratory (LANL) has been designing, building, and operating highly innovative ground, air, and space-based measurement and detection systems for nearly 60 years; including space-based measurement systems for verification of international nuclear treaties, basic scientific missions, nuclear nonproliferation, space situational awareness, and remote sensing.
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Leverage your expertise in embedded software to craft innovative solutions for cockpit displays, instruments, local and remote sensing, data conversion, storage, lithium battery management, and power conversion up to 6000W.
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Develop software to prototype and evaluate signal processing, remote sensing, and/or machine learning algorithms. Provide technical, analytical, and numerical support for research and development projects in the areas of mathematics, statistics, programming, electrical engineering, and signal processing.
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Experience with programming in one or more languages, such as Python, Labview, C, and/or Arduino ecosystem. Develop mechanical designs for fixtures, Ground Support Equipment (GSE), laboratory equipment, and other applications using, for example, Solidworks/CREO.
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Knowledge and experience with digital cartography, image processing, computer technology, geographical information systems (GIS), geospatial production techniques, remote sensing, and photogrammetry.
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Remote sensing and observational technologies, including WSR-88D weather radar and meteorological surface/upper air observational networks. Proficiency in programming languages used in scientific computing and data engineering/analysis, such as Python, Fortran 77/90, C/C.
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