30 computing-"https:"-"https:"-"https:"-"Lawrence-Berkeley-National-Laboratory---Physics" positions at King Abdullah University of Science and Technology in Saudi Arabia
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The Program Manager, Community Development is responsible for leading the planning, development, and execution of strategic community programs, initiatives, partnerships, and engagement activities
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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 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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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 VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
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The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep
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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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student lifecycle. Partner with the Head of Academic Excellence and Quality Assurance to support institutional accreditation and academic program reviews. Liaise with the Deans, Associate Deans and Graduate
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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 Career Areas Academic and Research Jobs
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applications. Implement onboard data processing pipelines using edge computing platforms (e.g., NVIDIA Jetson). Optimize system performance considering payload constraints, power consumption, and environmental