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EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Foreign Area Studies, Geography, History, International Affairs, International Studies, Military Science, Physical Science, Political Science, Remote Sensing, or a related field.
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Expertise in photogrammetry, remote sensing, image processing, or regional expertise is also desirable. Proficiency with ArcGIS, ArcSDE, ArcView, ArcIMS, ArcTools, the Integrated Exploitation Capability (IEC) system, SocetSet, TerraExplorer/Builder, RemoteView, ERDAS IMAGINE, MRSID, VB/VBA (or some other object-oriented programming/scripting language), Oracle and other appropriate software to analyze geospatial data.
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Demonstrated experience in teaching GIS, remote sensing, spatial analysis, and/or related fields using software systems common to forest and natural resource management organizations. Expertise in a sub-discipline of forest geospatial analysis such as remote sensing, forests/water systems, forests/tree health, forest assessment, or land use/land cover change (LULCC.
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The major areas of research currently include theoretical and experimental optical, electronic, and magnetic materials, polymers, ceramics, composites, nanomaterials, energy materials, quantum materials and devices, biomaterials, medical devices, additive manufacturing, data science of materials, and computational materials science.
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From real-time field data tracking to high-quality cartographic maps for environmental reporting to advanced remote sensing and image processing of drone data fed into interactive online applications―we implement practical and proven solutions to meet our end-users’ needs.
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Develop and use innovative techniques and tools for applications including image chain modeling, spectroscopy, computer vision, change detection and tracking, space domain awareness, lidar and 3D remote sensing, radio frequency remote sensing, product quality metrics, optics, calibration, and data simulation.
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6+ years of work experience, preferably in the autonomous vehicle, robotics, or remote sensing fields. Develop ML models and algorithms using current and historical data from a variety of sensor modalities (e.g. camera, radar, lidar) that solve complex problems such as localization, tracking, sensor fusion, detection, anomaly identification, and behavior prediction.
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Bachelor's degree (master's degree desired) in related field required (preferably in Geography, Social or Behavioral Science, Computer Science, Information Systems, Math or Statistics, Earth or Geo Science, Life, Physical or Environmental Science, Engineering, Business, Data Science, Data Visualization.
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Applied Physical Sciences (APS) is looking for a highly motivated power electronics engineer to join our Sensing and Communications Department. Experience using National Instruments (or similar) data acquisition systems and LabView.
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Typical responsibilities are to work on the GIS/IT and Remote Sensing related projects for state and federal clients across the US. Dewberry is a leading, market-facing professional services firm with more than 50 locations and 2,000 professionals nationwide.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Hands-on experience in Opto-mechanical system, Metrology, Optical science and leveraging optical simulation tools (i.e. Zemax). Strong knowledge in data processing, statistical tools and data visualization using Matlab, Python, JMP, or similar tools.
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The Interdisciplinary Radar Scientist & Engineering Geophysicist position encompasses a wide array of responsibilities across engineering, geology, geophysics, geodesy, radar technology, data management, software development, remote sensing, electrical engineering, and cGNSS installation.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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analyst remote data sensing physical science jobs in Kekaha, Hawaii
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