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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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