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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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based in the Department of Supply Chain Management. The successful candidate will contribute to research at the intersection of people-centric operations, social sustainability, analytical modeling, and
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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
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proteins in the ER. The postdoctoral associate will participate in multiple research projects investigating the plant UPR using the model organism Arabidopsis thaliana. Responsibilities include designing and
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management, and enhance ecosystem services outcomes. The researcher will also have ample opportunity to collaborate on complementary projects focused on mapping, modeling, and advancing agricultural
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on advanced internal combustion engines, with an emphasis on turbulent-jet ignition systems and structural-mechanics modeling of cylinder-kit components. The ideal candidate will possess a strong background in
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: 1116179 Position Summary Successful candidates are expected to work on molecular design and theoretical modeling of soft materials as well as their applications in healthcare and sustainability