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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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predictors and interpreters for maps of damage and/or other fields, ensuring physics-based predictive maintenance. Plan and execute research tasks, analyzing data, publishing findings in peer-reviewed journals
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the integrity of compressed storage solutions. Plan and execute research tasks, analyzing data, publishing findings in peer-reviewed journals, and presenting research at scientific conferences. May participate in
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, analyzing data, publishing findings in peer-reviewed journals, and presenting research at scientific conferences. May participate in the development of patent applications. About MCEM laboratory The Mechanics
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world for citations per faculty according to QS rankings and offers an unparalleled environment for innovation and research. For more information, visit www.kaust.edu.sa . About CREST The Center for Renewable Energy
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The Machine Learning (ML) group led by Professor Ricardo Henao at KAUST (King Abdullah University of Science and Technology) has multiple openings for Postdoctoral level positions to conduct
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that help Saudi Arabia achieve its environmental and economic goals. Through strategic partnerships, cutting-edge research, and workforce training, the center will spearhead the prototyping and eventual
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achievement that will benefit the region and the world, KAUST has the mission of exemplifying the future of world-class research. More details are available at www.kaust.edu.sa . For more information, see the
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Additional benefits About CREST: The Center for Renewable Energy and Storage Technologies (CREST) at KAUST aims to develop renewable energy and storage technologies that help Saudi Arabia achieve its