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Qualifications Experience with policy evaluation and analysis using economic models. Experience with computable general equilibrium models using GAMS and/or GTAP. Experience with visualization and interactive
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NSF, FEMA, DHS, and other local agencies. They will lead research activities involving harnessing and synthesizing the latest developments in artificial intelligence, remote sensing, and simulation and
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languages. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools, and parallel visualization software. Preferred Qualifications: Excellent
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-sampling data. Furthermore, the position holder will play a central role in creating high-quality training datasets (seagrass maps) to support artificial intelligence (AI) algorithms used in related projects
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the Rosaceae, Citrus, Vaccinium and Pulse crop databases to meet community demand for resources with usable big data aggregated, analyzed, integrated, and visualized, as well as data management and analysis
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operations, project management, and other mission support functions. To learn more about ongoing projects, you may visit the NETL website and browse news, core competencies, and more. NETL’s core competencies
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. • Preference may be given to applicants with experience with biological materials such as fungi, including culturing methods. • Basic experience with software such as MatLab, Python, or R for data visualization
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, audio, and sensor data), and deploying solutions in real-world environments, particularly in robotics-focused applications. Familiarity with robotics concepts such as SLAM, sensor fusion, visual odometry
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-source workflows, version control (e.g., Git), and reproducible documentation. • Developing high-quality data visualizations and scholarly content. Limited travel may be required to attend meetings and