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, including prompting, fine-tuning, or evaluation Machine learning or NLP for classification, prediction, or multimodal data processing Experience with annotation tools, data pipelines, or AI-assisted labeling
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to predict nitrogen (N) and phosphorous (P) excretion, and this was published by Fox et al. (2004). Further, those predictions were refined and improved and partition N and P excretion between urine and feces
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complex datasets Develop final publishable-quality tables and figures for inclusion in research manuscripts Write and clearly document research code to clean, maintain, and analyze datasets Manage data
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research manuscripts • Write and clearly document research code to clean, maintain, and analyze datasets • Manage data-related aspects of research projects • Lead and assist with the development of research
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you academically in the long-run. Anticipated Division of Time 50%: Conduct primary research project. This includes engaging in fieldwork, conducting interviews, coding data, writing, and giving talks
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to the completion of a beef life cycle assessment for the City Food Policy Project and improving animal growth and performance predictions for grazing livestock by mechanistic nutrition models. Interested
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prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration with industry partners in climate risk assessment
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to the completion of a beef life cycle assessment for the City Food Policy Project and improving animal growth and performance predictions for grazing livestock by mechanistic nutrition models. Interested
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. The individual is required to use tools in chemical ecology, genomics, molecular biology, and AI-driven predictive modeling in the research project. Specific duties will include: (1) gather and merge existing data
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analysis of biological datasets using R, Python, SAS, or related platforms Ability to integrate laboratory, greenhouse, and environmental datasets to support predictive analyses and IPM-focused decision