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. Depending on the candidate's background and research direction, approaches may include computer vision, representation learning, graph neural networks, multimodal learning and scientific machine learning. A
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for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web page For further details or alternative project arrangements, please contact: [email protected].
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learning frameworks such as PyTorch (required) Knowledge of neural networks, transformers, and representation learning techniques (desirable) Experience in time-series modelling, biosignal analysis
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