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agronomic datasets from cover crop experiments using advanced statistical and quantitative genetic approaches. Apply genomic prediction methods to evaluate and improve cover crop performance. Design
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, transcriptomic, and proteomic datasets to uncover biological mechanisms and generate novel research insights. The successful candidate will apply bioinformatics and statistical approaches to analyze high
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. The successful candidate will also apply statistical modeling for mechanistic inference and conduct biogeographic and geospatial analyses of microbiomes. This position involves collaborating with scientists and
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