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approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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of Professor Hrvoje Tkalcic on the Earth’s deep interior. In this role, you will conduct an original and innovative study of the Earth’s deep interior using seismic and correlation wavefields to elucidate
Searches related to deep learning
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