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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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. Programming skills in Python, with experience in deep learning frameworks such as TensorFlow or PyTorch. Experience with computer vision techniques, image processing, and neural networks. Familiarity with
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