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support applied research projects focused on grazing management and soil health. This position will lead the analysis and interpretation of soil data already collected across multiple projects spanning
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quantitative genetics and maize breeding. -Utilizes skills and knowledge in these and other areas to complete research projects leveraging new data extraction and analysis algorithms and connecting
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and analysis, presentations, publications, project/program conceptualization and development, grant proposal development, and other related activities. Study outcomes include physiological measures
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plant variety protection documents, statistical analysis, and the genomics of polyploid plant species. The incumbent will be responsible for analyzing datasets to prepare PVP packages and manuscripts
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analysis and decision support in plant breeding. •Experience developing AI-enabled decision support tools for breeding climate-resilient, high-quality horticultural crops. •Familiarity with statistical
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data analysis. -Assist with grant proposal development, progress reports, regulatory documentation, ordering and purchasing laboratory supplies and equipment, maintaining laboratory inventory, and other
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Analysis - Analyze DNA repair outcomes using PCR, sequencing, genotyping, HRMA, Sanger-based editing analysis, nanopore sequencing, and related molecular approaches. -Evaluate homing, end-joining, SSA, indel
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studies utilizing polyphenol-enriched plant systems, as well as the biochemical, molecular, and phytochemical analysis of serum samples collected from animals fed polyphenol-rich diets. The Postdoctoral
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, Python, GitHub, fieldwork, laboratory workflows, or grant/manuscript development. Experience with R, Git/GitHub, phylogenomic or population genomic workflows, GIS/spatial analysis, herbarium curation
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experimental design, implementation, data collection, analysis, modeling, and dissemination of research findings. Responsibilities will include managing field experiments, coordinating and conducting ground