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post-acquisition bioinformatic and/or statistical analysis. Experience analyzing high-resolution LC-MS/MS data generated using Thermo Scientific Orbitrap instrumentation or similar high-resolution mass
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, design, plan, and execute wet-lab experiments, conduct bioinformatic and statistical analyses, and write peer-reviewed journal articles. Key Responsibilities Design and implement experiments that pair
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Responsibilities: Collect soil and plant samples from the field Analyze soil and plant samples in the laboratory Collect data from the literature Analyze and visualize data using advanced statistical approaches
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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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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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microbial ecology with cultivation approaches. Additional work will include imaging-based physiology, molecular and multi-omic workflows, and quantitative and computational analyses of microbial communities
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computer vision models and web-based decision support tools, to enhance efficiency and decision-making in swine production. Required Minimum Qualifications: • Ph.D. in Animal Science, Swine Nutrition
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research position is available in the Department of Agronomy at Iowa State University. This position focuses on a project integrating cropping systems research, data science, and mathematical and statistical