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to predict marine extremes for engineering and navigation purposes The PhD candidate is expected to develop an integrated framework that combines machine and deep learning methods with statistical and
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. This research emphasizes improving prediction accuracy for renewable energy production (particularly solar and wind) through advanced machine learning techniques that capture spatial-temporal dependencies
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