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system modeling Basic understanding of graph neural networks, foundation models, data-driven modeling, or physics-informed machine learning Good programming skills in Python Experience with machine
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and modeling of electronic and optical devices Develop hardware-aware machine learning models incorporating electronic and optical device constraints Design and implement hardware-efficient training
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plus Experience in modeling, simulation and machine learning Basic knowledge of control engineering Experience in reinforcement learning is not required but highly beneficial Very good command of
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with deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn Experience with stochastic Machine Learning and uncertainty quantification Experience with multimodal and/or multitemporal