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or similar platforms for version control, code management, and research data archiving. Demonstrated ability to collaborate effectively within interdisciplinary research teams and communicate scientific
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imagery, and conduct APSIM simulations to address research questions related to crop physiology, plant breeding, nitrogen management, water quality, crop rotations, and predictive agriculture. The position
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. Experience with statistical and bioinformatics software, including R, SAS, sequence analysis tools, and genomic data analysis methods. Experience developing Excel macros and using database management systems
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evaluating the impacts of land management practices, conservation strategies, and crop improvements on soil and water resources. The ideal candidate will possess strong verbal and written communication skills
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candidate will design and execute research studies focused on swine nutrition, management practices, and the adoption of digital technologies within modern swine production systems. They will analyze complex
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nutrient budgets, soil carbon dynamics, on-farm research, and agronomic management practices. Candidates with backgrounds in agronomy, soil science, cropping systems, statistics, or related fields
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, universities, and industry. The position requires effective management of multiple tasks, timely completion of project milestones, clear communication of results, and contributions to quarterly progress reports