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. This creates large uncertainties when modelling orchard water and nutrient fluxes as well as deep percolation below the root zone, critical topics in semi-arid, agriculturally productive regions such as
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scientists to characterize movement patterns of stored-product insects across U.S. agroecosystems and to identify invasion pathways. This includes modeling environmental variables that predict population
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to improve the safety, efficiency, effectiveness, and environmental sustainability of agricultural application systems, including aerial and ground-based equipment used to accurately and efficiently deliver
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environmental conditions, preparation and processing of biological samples, and analysis of ecological data using statistical and modeling approaches in R. Emphasis will be placed on building your analytical
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variety of meteorological and snowpack sensors. Learn to document avalanche activity and environmental conditions using standardized protocols. Data Analysis and Modeling Train to process and analyze
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your skills in molecular biology, virology, cell culture, vector biology, and animal models, to understand what drives the arbovirus transmission cycle. Additionally, you will be provided opportunities
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insurance can be obtained through ORISE. The successful applicant(s) will be required to comply with Environmental, Safety and Health (ES&H) requirements of the hosting facility, including but not limited
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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
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., Medicare and Medicaid) to examine clinical, behavioral, social, and environmental factors associated with diabetes incidence, prevalence, complications, and trends. Learn and apply advanced statistical and
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Location: A research opportunity is currently available with the Division of Environmental Health Science and Practice (DEHSP) of the National Center for Environmental Health (NCEH) at the Centers