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. This position will involve the development of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose
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deep learning libraries and ML platforms such as PyTorch or Tensorflow, Scikit learn, or CARET, including a track record of effective deployment of these within artificial intelligence or machine
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