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statistical analyses including generalized linear model, multilevel modeling, data mining, survey methodology and Bayesian influences. (Required) Demonstrated experience working on collaborative research
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evaluation, including topics related to geographic metascience, spatial causal inference, and external validity. The successful candidate will collaborate with Dr. Peter Kedron, members of the Center
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research projects including experience in research design, data collection and management, data analysis, and drawing appropriate inference. Deep understanding of and respect for local customs, community
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of terrestrial and freshwater systems -Climate change impacts in terrestrial ecosystems -Tipping points, ecosystem transformations, range shifts -Applications of causal inference in ecology -Disturbance regimes