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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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. 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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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
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, Bioinformatics, Statistics, Data Sciences, AgEngineering, or related fields. Preferred Qualifications: Two or more years of research experience in animal sciences or a closely related field Experience with
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research assistants to ensure high-quality data and sample integrity. The Postdoc will perform bioinformatic and statistical analyses of microbiome, soil, and plant datasets using tools such as R or Python