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landowners, conservation partners, and local decision‑makers to co‑produce knowledge and identify conservation pathways. Contribute to the development of a decision‑support toolkit, including interactive maps
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interventions on the development of chronic metabolic diseases across the life-course. The candidate will develop collaborative projects with ARS scientists and members of the Institute for Advancing Health
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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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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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for greenhouses and vertical farming systems. The successful candidate will focus on robot hardware development, automation system design, machine vision, and intelligent control, supported by physics-based
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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