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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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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
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positions (PhD, MS, MS–PhD, Agronomist, Field Engineer, Field Technician, and Postdoctoral Scholar) in Professor Himanshu Mishra’s research Group (Interfacial Lab) in King Abdullah University of Science 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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graduates with BS or MS or PhD with concentration inbiochar research, agricultural engineering, soil chemistry, soil physics, plant science, or a related field; we also value practical experience ingrowing
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, Communications Systems and Sensing, Nuclear Engineering, Advanced Materials, Membranes and Water Security, Smart Mobility and Logistics, Refining and Petrochemicals, Carbon Capture & Storage, Hydrogen & Energy
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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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on-site. The engineer will work closely with a multidisciplinary research team to bring the technology from the lab to field-tested implementation. Major Responsibilities – include but are not limited
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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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genomics, protein engineering, cloning/assembly workflows, cell line development). You will work closely with computational experts to establish innovative, high-throughput, high-fidelity screening platforms