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. This work lies at the interface of statistics, machine learning/AI, ecology, and conservation and spans a range of activities from exploratory analysis, visualization, and discovery to prediction, validation
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digital assets, one billion bird sightings, and leverage innovative big data analysis tools and machine learning to produce web applications and services to empower a global community of bird and nature
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their biophysical and sociocultural benefits to cities and landscapes. The successful candidate will have expertise in and instruct courses related to any of the following areas: the design of urban environments
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