25 research-assistant positions at King Abdullah University of Science and Technology in Saudi Arabia
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The Assistant Dean plays a pivotal role in the strategic and operational management of CEMSE Division at KAUST. Reporting directly to the Dean, the Assistant Dean provides leadership in faculty
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vacation Additional benefits Remote work possibility About CREST: The Center for Renewable Energy and Storage Technologies (CREST) at KAUST aims to develop renewable energy and storage technologies that help
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startup formation, is highly desirable. We particularly encourage applications from candidates at the Assistant Professor rank, individuals with demonstrated translational research and entrepreneurship
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(KAUST) invites applications for a faculty position at the rank of Assistant Professor (exceptional candidates at the Associate Professor level may be considered). The Statistics (STAT) Program at KAUST
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to develop renewable energy and storage technologies that help Saudi Arabia achieve its environmental and economic goals. Through strategic partnerships, cutting-edge research, and workforce training
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Press Tab to Move to Skip to Content Link Skip to main content Home Professional Life at KAUST Living at KAUST Career Areas Academic and Research Jobs Innovation and Entrepreneurship Jobs
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Press Tab to Move to Skip to Content Link Skip to main content Home Professional Life at KAUST Living at KAUST Career Areas Academic and Research Jobs Innovation and Entrepreneurship Jobs
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on-site. The engineer will work closely with a multidisciplinary research team to bring the technology from the lab to field-tested implementation. Major Responsibilities – include but are not limited
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(CREST) at KAUST aims to develop renewable energy and storage technologies that help Saudi Arabia achieve its environmental and economic goals. Through strategic partnerships, cutting-edge research, and
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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