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: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural
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Arabidopsis thaliana. The successful candidate will combine seed physiology, genetics, and transgenic approaches to dissect gene function and regulatory interactions controlling germination decisions
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, who are interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
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projects focus on seed storage protein remodeling, ribosome and translational control, amino acid biofortification, under genetic and environmental perturbations. Environment: Michigan State University
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with digital control interfacing is desired but not required. Required Application Materials Cover Letter and CV that includes publications and two references related to work experience. Special