14 machine-learning "https:" "https:" "CMU Portugal Program FCT" Postdoctoral positions in Saudi Arabia
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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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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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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are looking for young scientists who are passionate about water desalination and machine learning with its potentially transformative applications in research and industry. The two-year post-doctoral position
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and Environmental Sciences and Engineering (BESE) Division at the King Abdullah University of Science and Technology (KAUST) (https://www.kaust.edu.sa/en/study/faculty/david-gomez-cabrero ). The project
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visit: https://www.kaust.edu.sa https://www.kaust.edu.sa/en/live/community-life https://bese.kaust.edu. At KAUST, we attract people from all around the world who want to create impact beyond their own
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information about KAUST and postdoctoral life/benefits please visit: https://www.kaust.edu.sa https://www.kaust.edu.sa/en/live/community-life At KAUST, we attract people from all around the world who want
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We solicit applications for experienced Agronomists for Professor Himanshu Mishra’s research Group in King Abdullah University of Science and Technology (KAUST), Saudi Arabia (https
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student and #1 in the percentage of international faculty. Living at KAUST: https://www.kaust.edu.sa/en/live-work https://www.kaust.edu.sa/en/about/photos https://www.kaust.edu.sa/en/about/videos
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. These workflows will then be applied in relevant Saudi Arabian contexts to help discover new ore deposits. The position will combine techniques from geological modelling, geostatistics, machine learning, and