31 parallel-programming positions at King Abdullah University of Science and Technology in Saudi Arabia
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The Bioscience Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) is launching a significant initiative
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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and research infrastructure with the possibility to receive training on diverse instruments by experts in their fields. Skill diversification, e.g. programming courses in AI/ML and data visualization
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engineering. Plan and execute research tasks, analyzing data, publishing findings in peer-reviewed journals, and presenting research at scientific conferences. May participate in the development of patent
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The Computer Science program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology (KAUST
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As part of a major initiative to strengthen its research in marine science, the Marine Science Program (MarS) in the Biological and Environmental Science and Engineering (BESE) Division at KAUST is
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The Applied Mathematics and Computational Sciences (AMCS) program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa ) at King Abdullah
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The Plant Science Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) invites applications for faculty
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The Bioengineering (BioE) Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) bridges the University’s
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The Bioengineering (BioE) Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) bridges the University’s