33 data-science-"https:"-"https:"-"https:" Postdoctoral positions at Iowa State University
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, and trusted to deliver innovative, science-driven solutions to the most pressing challenges in animal health and food production. We advance our vision by empowering current and future veterinarians
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of Veterinary Pathology seeks a highly motivated Postdoctoral Researcher to advance research through the integration of 3D organoid models and multi-omics data analysis. This position will leverage genomic
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science, and soil science. The successful candidate will contribute to innovative research on soil-plant interactions while developing new skills in a collaborative and supportive research environment. Key
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collaborative and multidisciplinary environment, the postdoctoral researcher will investigate viral-host interactions using a variety of molecular biology approaches and both ex vivo and in vivo model systems
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, and Environmental Engineering at Iowa State University invites applications for a Postdoctoral Research Associate position. The successful candidate will work on a USDA-funded research project
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technical staff and leading independent research initiatives in environmental microbiome science. The candidate will be expected to publish findings in peer-reviewed journals and present results
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Science and Engineering at Ames National Laboratory, a U.S. Department of Energy national laboratory affiliated with Iowa State University, seeks a Postdoctoral Research Associate to conduct experimental
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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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the instrumentation, developing the data analysis methods, and applying the methods to study model biomolecules and biomass systems. This research is part of the laboratory’s work for an Office of Science, Biological
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of phase diagrams, crystallography, CALPHAD, and chemistry of 4f elements is encouraged. Experience with acquiring and analyzing XRD data, including phase identification, qualitative and quantitative phase