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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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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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Serve as the Lead for the team ensuring smooth operation of the Linux cluster consisting of 300+ GPU/CPU compute nodes including parallel filesystems and high-performance network. This is partly
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stromatolites, brine pools and hydrocarbon vents and seeps. Preference will be given to candidates who can take advantage of KAUST’s unique access to the Red Sea that may serve as a “natural laboratory” for
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(KSA). The goal of this translational research is to sustainably realize KSA’s giga-scale projects in organic landfill diversion, desert rehabilitation for agriculture, landscaping, and nature
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research is to sustainably realize KSA’s giga-scale projects in organic landfill diversion, desert rehabilitation for agriculture, landscaping, and nature conservation; success of these projects will
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in the design, processing, and characterization of advanced semiconductors — including organic, hybrid, and 2D materials. Applicants should demonstrate a strong track record of fundamental and applied
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, photovoltaics, porous materials for carbon capture and membranes, clean combustion, atmospheric modeling, new polymers and composite for smart materials and structures, catalysis and catalytic processes. KAUST is
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operation of the lab, mediating lab upgrade projects, and assisting in various research and administrative tasks. The Research Engineer will be a key support to Prof. Derya Baran and contribute