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, feed composition, and variables related to production-system typologies. Develop, adapt, and apply quantitative models to assess livestock interventions, including process-based, biophysical, spatial
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, feed composition, and variables related to production-system typologies. Develop, adapt, and apply quantitative models to assess livestock interventions, including process-based, biophysical, spatial
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variables related to production-system typologies. - Develop, adapt, and apply quantitative models to assess livestock interventions, including process-based, biophysical, spatial, and integrated assessment
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negotiable. Key areas of responsibility include: ● Leading the development of qualitative and quantitative systems models that synthesize ecological, social, economic and policy drivers of grassland conversion
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negotiable. Key areas of responsibility include: ● Leading the development of qualitative and quantitative systems models that synthesize ecological, social, economic and policy drivers of grassland
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with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center-for-avian-population-studies/ ), one of six programmatic units at the Cornell Lab. CAPS is the home of
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, spatial statistics, machine learning approaches, large ecological datasets Previous experience with passive acoustic monitoring and/or eBird data Familiarity with ecology and/or ornithology Demonstrated
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seek a creative, collaborative Postdoctoral Associate with experience in quantitative ecology and large spatial datasets. The successful candidate will lead interdisciplinary research leveraging