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-ready container images using Singularity, Podman or similar. Data Engineering: Experience with data engineering techniques for developing AI pipelines. Linux: Strong Linux/Unix skills and bash scripting
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with a strong background in experimental mechanics, composite materials, structural engineering, or a related field. Experience in mechanical testing, experimental characterization, and non-destructive
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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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of the employee's knowledge, skills, and abilities in the field of the position. Qualifications Essential: Bachelor’s degree in computer science, Information Technology, Computer Engineering, Engineering, or a
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-performance SWIR and exploratory room-temperature MWIR detection. Candidates should hold a PhD in chemistry, materials science, electrical engineering, applied physics, or a related field, with expertise in
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Reporting to Senior Operations Manager, the Business Manager oversees faculty support services, administrative operations, business processes, and financial management support across the Biomedical
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programs and research activities is available at https://www.kaust.edu.sa. The PSE Division comprises five Programs: Chemical Engineering, Chemistry, Earth Systems Science and Engineering, Materials Science
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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processes. The excellent outcrop exposure due to limited vegetation cover, and extensive mineral occurrences provide a unique natural laboratory to advance predictive mineral system models. Our research will
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will be integrated in the Volcanology, Igneous Petrology and Geochemistry team, within the Earth Science and Engineering Program at KAUST. In the team, currently two research scientists, eight PhD