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themes: (a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating
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of Reinforcement Learning and Material Science, focuses on developing innovative solutions for the discovery of novel chemical materials for direct air capture (DAC) technologies. By joining our team, you will
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We seek a postdoctoral associate with PhD degree in Physics, Electrical Engineering, Materials Science or in related fields specialized in acoustic sensors, device fabrication, and electromechanical
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on the basis of equality, without regard to race, color, religion or gender. The leading position of KAUST with respect to research output in the region and the world was recognized by the QS World University
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Are you passionate about developing advanced polymeric materials for electrochemical energy storage and conversion, including batteries, fuel cells, and electrolyzers, to contribute