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at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models of potentials that appear in Hamiltonians for time-dependent quantum systems. The postdoc
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on developing computational methods for designing and interpreting pooled high-throughput experiments. The work will be done in close collaboration with a larger team that integrates computational and
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recruiting a postdoctoral scholar to join the lab. The postdoc will primarily work on a project related to deep soil processes. Our research program explores diverse areas, such as soil organic matter dynamics
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excellent opportunity to work in the development of external relationships and to engage in industry-university partnerships at the cutting edge of engineering, computer and data science, technology, natural
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of the following: AI infrastructure, digital twins, deep learning systems and models, and distributed computing. Knowledge of sustainable agriculture practices and food systems. Excellent written and