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breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep learning) and subsequent
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of hydrologic processes, transboundary/shared water resources management, and coupled human–natural systems. Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine
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among guests with food insecurity and hypertension. This is a longitudinal, prospective natural experiment with a mixed-methods RE-AIM process evaluation, conducted with community partners in the Fort
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, proteomic, transcriptomic, imaging, biochemical and/or physiological experiments to elucidate factors critical for important insect traits (digestion, feeding, development, reproduction, DNA repair, etc
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of active ingredients against secondary screwworms. - Effectively communicate and collaborate with chemical engineers, veterinarians, microbial ecologists, and entomologists to execute and complete a five
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emissions modeling for a local concentrated animal feeding operation (CAFO), and prepare results for publication. Collaborate with USDA‑ARS workgroup contributing to enhancements of the USEPA CMAQ/STAGE model
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, technical reports, lab/herbarium coordination Performs other related duties as assigned. Required Qualifications: PhD in botany, biology, ecology and evolutionary biology, plant systematics, plant biology
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questions, analyses, and project outputs related to grazing management and soil health. Performs other duties as assigned. Required Qualifications: PhD in rangeland management, soil science, natural resource
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. Required Qualifications: Ph.D degree in agricultural science, engineering, environmental science, hydrology, water management, or a closely related field. Preferred Qualifications: Past experience in data
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AI or machine learning applications. Formal training or professional experience in audio engineering, recording arts, or signal processing. Experience with acoustic software platforms (e.g., Pro Tools