78 3-phd-positions-in-computer-science-artificial-intelligence positions at King Abdullah University of Science and Technology
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King Abdullah University of Science and Technology (KAUST) invites applications for a Research Engineer position in the field of Applied Artificial Intelligence and Internet of Things (IoT
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King Abdullah University of Science and Technology (KAUST) invites applications for a Postdoctoral Researcher position in the field of Applied Artificial Intelligence and Internet of Things (IoT
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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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We invite applications for a faculty position in chemical engineering with a focus on process modeling, control, and optimization, as well as data-driven methods for sustainable energy and advanced
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One postdoctoral position is currently available at King Abdullah University of Science and Technology (KAUST) for a collaborative project with a starting date of April 1, 2020. The candidate will
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We invite applications for a faculty position in computational science and engineering with a focus on geophysics or fluid dynamics, as well as machine learning with one of the following experiences
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This postdoc position is for a specialist in the fabrication of silicon heterojunction solar cells to be integrated into monolithic silicon perovskite tandem solar cells. For this position, we
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We are currently seeking exceptional candidates to join our faculty in the Physical Sciences and Engineering (PSE) Division to lead pioneering research in polymer chemistry, particularly in
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The Yavuz Lab (www.YavuzLab.com ) at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, is accepting applications for postdoctoral scholars. Successful candidates will conduct
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to multi-omics single cell data. The 3 positions require skills (each in different degrees and balance) on high-performance computing, dynamical systems, machine learning techniques for high-dimensionality