59 phd-position-in-image-processing positions at King Abdullah University of Science and Technology in Saudi Arabia
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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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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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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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The Statistics (STAT) program in the Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology
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We are currently seeking outstanding candidates to join our faculty team within the Physical Science and Engineering Division (PSE) to lead pioneering research in: - Carbon Fiber Manufacturing Ideal candidates should demonstrate a readiness to address these topics through a...
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to: Design, prototype, and test laser-based systems for field use. Conduct field deployments including sensor installation, calibration, and troubleshooting. Write and implement Python-based scripts for sensor
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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
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King Abdullah University of Sciences and Technology (KAUST) invites applications for a faculty position in Emerging Semiconductor Materials and Devices. We are particularly interested in candidates
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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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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