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methods. Expertise in coastal landscape ecology, hydrology, and/or geomorphology. Experience analyzing large, heterogeneous environmental, geospatial, remote-sensing, or time-series datasets. Contact
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
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autoregressive time series, diagnostics and model comparison, sensitivity and identifiability analysis, intuitive model interrogation methods and calibration when observations are few or conflicting. You will work
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: Experience working with manufacturing, materials, and sensor data Experience with real-time, time-series or streaming data systems and edge AI deployment Experience building and maintaining data processing