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. The project focuses on high-precision optical computing for neural network applications and leverages a radically new digitized optical computing architecture. You will play a central role in advancing
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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recent neural network architectures for machine learning (e.g., CNNs, RNNs, GANs); understand AI-perception, SLAM, Robotics and autonomy; communicate effectively in English, orally and in writing; work
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Neural Networks Deep Learning and Uncertainty Quantification Python and ML frameworks (TensorFlow, PyTorch, JAX) Reproducible and open-science practices Experience with geospatial, environmental