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/or process simulation. Strong background in microscopy and imaging. Demonstrated ability to prepare scientific manuscripts and presentations. Ability to work independently and collaboratively across
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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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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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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