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requirements). Qualifications: Doctoral degree completed (or near completion) in Civil Engineering, Structural Engineering, or a closely related field at the time of application. The degree must be completed by
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infrastructure where power electronics, AI-driven workloads, UPS systems, and grid dynamics interact across multiple timescales, creating new and poorly understood instability mechanisms. The successful candidate
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Learning (SciML) applied to physical or engineered systems, including deep neural network surrogate modeling, physics-informed neural networks (PINNs), reinforcement learning (RL), transfer learning, dynamic
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computational models of disease dynamics, and lead statistical analysis of data sets. The Postdoctoral Research Associate will be formally appointed in the area that best aligns with their career goals and
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invertebrates. Phylogenomics: Building phylogenetic tools to integrating chromosome structural and sequence information at tree-of-life scale. Depending on project fit and candidate expertise, research may