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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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rich resources in support of Postdoctoral Research Associates (New & Current Postdocs ), this position at Lehigh University is in-person. Dr. McAndrew is an Associate Professor in the Department
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