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Qualifications: Advanced degree (MS or PhD) in Computer Science, Data Science, Geospatial Science (GIS/remote sensing), Electrical/Computer Engineering, or a closely related discipline. Minimum of 10–12 years
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. Experience working with large environmental datasets such as flux tower and remote sensing data. Skills in statistically based model evaluation using observational data. Evidence of leadership potential
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datasets, geospatial and remote sensing tools (e.g., Google Earth Engine). Grid modeling and planning, either through development of bespoke capacity expansion and/or production cost models, or application
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