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into neural networks. PINNs can model real-world signals with sparse, non-uniform, and noisy data. A key question is determining the optimal method for integrating physical priors into neural networks
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candidate will have a unique opportunity to work closely with researchers and technical experts from CSIRO in a multi-disciplinary team environment. The project will provide numerous research and development
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contributing to final layer predictions. • Objective 3: Non-convex Optimization and Local Minima -- Study the theoretical foundations and empirical behaviors of deep neural networks in the context of non-convex
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