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model algorithms simulating carbon and nutrient budgets under varying manure housing and management practices using scientific programming languages. Implement newly developed modules and
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. • Ability to multi-task and work cooperatively with others. Preferred Qualifications: • Proficiency in handling remotely sensed geospatial datasets and programming languages, particularly R or Python
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relevant field (Horticultural Sciences, Plant Genetics, Genomics, Breeding, or closely related field). Required Knowledge, Skills, and Abilities: Experience in R programming and software for genetic
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programming languages (R or Python) for automated reproducible workflows. • Knowledge, experience, and interest in assessing the impacts of management practices on environmental outcomes, such as soil