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and maintain Python scripts, Arcade expressions, attribute rules, and automated processes (including batch scripts and Windows Task Scheduler jobs). Publish and manage map, feature, image, geoprocessing
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, postdocs, and students in advanced optical characterization techniques while contributing to the broader scientific community through workshops and collaborative research initiatives. Deliver ORNL’s mission
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: Past hands-on involvement in software systems, data systems, analytics, computer driven distributed data processing, geomatics, image analysis, remote sensing, or geospatial research projects. Experience
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prototype electronics from a laboratory setting to an operational facility and/or to transferring technology from prototype design to commercial companies. Experience with process automation, in-process
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managing image registries such as Quay or Harbor Solid understanding of networked computing environment concepts Strong working knowledge of Unix systems fundamentals and common network protocols Ability
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physical characterization techniques (differential scanning calorimetry, dynamic light scattering, small angle neutron and/or x-ray scattering) to characterize the DIBs; and (3) Develop/implement image
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design drawings and manipulate scanned images. Working knowledge of the following: Electrical control and protection devices and their circuitry National Electrical Code (NEC) symbols and nomenclature used
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@ornl.gov (For postdocs, use Postdocrecruitment@ornl.gov ) with the position title and number referenced in the subject line. Instructions to upload documents to your candidate profile: Login to your account
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on remote sensing and image analysis. Under the guidance of research staff, the selected applicant(s) will take roles on multidisciplinary teams supporting cutting-edge research and engineering with large
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from