53 computer-engineering-"https:"-"https:"-"https:"-"Research-and-Innovation-Centre-Pro-Akademia" positions at King Abdullah University of Science and Technology in Saudi Arabia
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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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Required Qualifications ● Master’s degree or higher in Electrical Engineering, Applied Physics, Materials Science, or related field ● 3-5 years of hands-on cleanroom fabrication experience (academic
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The Data & Software Engineer is responsible not only for building scalable data pipelines and backend services but also for shaping the architectural direction of integrations, data flows, and
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We're seeking a Full-Stack Developer to build secure, cross-platform web interfaces for our AI-powered submicron imaging platform. You'll create intuitive applications that work seamlessly across
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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 Field Engineer will support the development and deployment of a laser-based system. This role requires hands-on prototyping, electronics development, and software integration for real-time
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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 Mechanics of Composites for Energy and Mobility Lab. (MCEM, https://composites.kaust.edu.sa ). Field of study We are seeking a highly motivated Research Engineer to join our research lab and contribute
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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