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incorporating machine learning to predict the influence of microstructural features on the structural integrity of metallic materials, e.g., resistance to plastic deformation and crack growth. Responsibilities
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predictive control under uncertainty for autonomous systems. The research aims to develop improved numerical methods for solving challenging belief-space motion planning problems, where the uncertainty in
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will work on a newly started interdisciplinary project focusing on exploring the AI based generation and use of synthetic data for improving predictions of energy performance of buildings as
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