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. The team will also perform veterinary safety and residue testing generating final formulations for dairy and beef cattle to measure active ingredient concentrations in milk, plasma, and edible tissues
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analysis and modeling using Google Earth Engine and R; meta-analysis; statistical analysis using R; regenerative conservation practices in rangelands; soil health assessment Substantial experiences and
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laboratory work, field sampling, and multi-omics analysis. Responsibilities: Design, conduct, and troubleshoot controlled experiments on bacterial stress responses, multispecies biofilm models, and pathogen
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, RT-qPCR/qPCR, cloning, sequence analysis, and related molecular assays. Evidence of scientific productivity through peer-reviewed publications. Strong hands-on expertise in molecular biology techniques
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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