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research to incorporate disturbance through time and remote sensing into a scaling framework of forest structure and functional diversity using in-situ and remotely sensed data, as well as assisting with
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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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. Research experience in establishing processing-structure-property relationships for composites. Strong background in experimental methods and/or computational modeling, particularly in materials testing and
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program and full-time employment as a faculty member or researcher and therefore serve to further prepare an individual who was recently awarded a doctorate to undertake the responsibilities of a career as
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drivers of phenology to inform near-term forecasting of phenology, as well as assisting with other projects to provide research support for the PI. Typical hiring range for this position is $58,000
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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