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appropriate and diverse statistical analyses, and writing reports for interdisciplinary audiences, such as policymakers, child welfare administrators, and researchers. The range of evaluation work includes
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Engineering, Food Engineering, Computational Sciences, Arts and Sciences, or a closely related field, Demonstrated research experience in experimental data collection, post-processing, and statistical analysis
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Engineering, Food Engineering, Computational Sciences, Arts and Sciences, or a closely related field, Demonstrated research experience in experimental data collection, post-processing, and statistical analysis
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objectives of the Small Grains Breeding Program by conducting research in the field of small grains genetics and breeding, with a focus on optimizing and deploying statistical tools and DNA marker information
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objectives of the Small Grains Breeding Program by conducting research in the field of small grains genetics and breeding, with a focus on optimizing and deploying statistical tools and DNA marker information
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publications, data management, and analytics. Preferred Qualifications Two (2) years of post-Ph.D. experience. Research experience in crop and pasture lands, coding and statistical packages, and data
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publications, data management, and analytics. Preferred Qualifications Two (2) years of post-Ph.D. experience. Research experience in crop and pasture lands, coding and statistical packages, and data
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, transportation data science, connected and autonomous vehicles, smart infrastructure, logistics, and other areas to be determined. Perform statistical analysis, computer simulation, optimization, and other