13 parameter-estimation positions at King Abdullah University of Science and Technology
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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provide an assessment of CCS potential from stationary sources in Saudi Arabia. The assessment will include estimates of the separation, capture, and transportation costs, potential storage locations and
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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