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Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster. Demonstrated record of publishing
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of the search process will be requested to provide a list of names and contact information for references. Incomplete application materials cannot be considered. Materials received after the initial review date
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Associate in PFAS Predictive Modeling with the University of Maine Cooperative Extension will establish and sustain a dynamic research and educational outreach program to address data and modeling needs
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for adaptation to sea level rise along the Maine coast. This 18-month grant-funded position will be supported in partnership with Maine Coastal Program (MCP), Maine Geological Survey (MGS), and faculty from
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, evolution, ecology, biology, psychology, economics, computer science) or engineering completed by start date Demonstrated academic excellence and research experience, especially published peer-reviewed papers