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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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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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The Electrical and Computer Engineering (ECE) Program within the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at King Abdullah University of Science and
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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 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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The Data Repository Lead will lead the development, launch, management and expansion of KAUST’s institutional data repository and its associated services, a core component of the University’s research data management ecosystem. The role ensures trustworthy stewardship and discoverability of...
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The Research Output and Preservation Lead is responsible for expanding the University Library's research output and preservation services and provides strategic and operational direction and recommendations for the University Library’s management. This role involves managing initiatives like...
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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Administration and Support Services Jobs Engineering and Facilities Management Jobs The KAUST School Jobs Elevate Program Join our Talent Community Search by Keyword Home Professional Life at KAUST Living at KAUST
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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