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to provide leadership in the development, operation, and strategic direction of a state-of-the-art agricultural data center. Ensure secure, reliable, and efficient management of large-scale
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/program conceptualization and development, grant proposal development, and other related activities. This position will focus on community-based intervention studies and/or longitudinal cohort studies
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. Responsibilities: Aid in the development and application of large scale modeling frameworks for water and crop management. Prepare and process large datasets for use in national model assessments conducted with SWAT
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the model development process and publish findings in peer-reviewed journals. Performs other duties assigned. Required Education and Experience: Ph.D. in Agricultural Engineering, Civil and Environmental
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CONUS EPIC model into the current version of EPIC. Support the tool development (e.g., programs, macros, SQL queries) to systematically upgrade the geospatial and tools in the CONUS EPIC integrated with
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and 4+ years of related work experience; background in the agricultural, natural resources, or natural sciences sectors. Experience in fundraising or development. Required Knowledge, Skills, and
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seeds, plant and manage crossing blocks. Assists in making crosses for the development of new breeding populations. Operates and maintains the functionality of field (e.g., tractors, planters, combine
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impact of variety × irrigation timing × fertilizer application timing on cotton growth, development, and yield in the semi-arid Texas High Plains. The Texas High Plains account for nearly 40% of the U.S
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used in data analysis Frequent communication both via phone and email with landowners to effectively manage data quality Manage the development and maintenance of large project level databases Summarize
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the data using Excel and Word. Assists in making crosses for the development of new breeding populations. Operates and maintains the functionality of field (e.g., tractors, planters, combine harvester