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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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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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engine dynamometer testing and high-fidelity physics-based modeling, with a focus on the intersection of combustion, fluid, and structural dynamics. Key Responsibilities: Design, execute, and analyze
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diverse data sources, including field-collected biological samples, on-farm sensor data, artificial intelligence–derived outputs, and video-based analytics, to support disease surveillance and control. Lead
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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
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innovation into everyday life. The revolutionary concept became a model for the nation.Today, MSU is one of the top research universities in the world?on one of the biggest, greenest campuses in the nation
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concept became a model for the nation.Today, MSU is one of the top research universities in the world?on one of the biggest, greenest campuses in the nation. Home to nationally ranked and recognized
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university, MSU began as a bold experiment that democratized higher education and helped bring science and innovation into everyday life. The revolutionary concept became a model for the nation.Today, MSU is
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bold experiment that democratized higher education and helped bring science and innovation into everyday life. The revolutionary concept became a model for the nation.Today, MSU is one of the top
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university, MSU began as a bold experiment that democratized higher education and helped bring science and innovation into everyday life. The revolutionary concept became a model for the nation.Today, MSU is