67 phd-position-in-computer-vision positions at King Abdullah University of Science and Technology in Saudi Arabia
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We are seeking motivated researchers with expertise in large-area 2D materials growth for sensor and transistor applications. The focus is on developing wafer-scale 2D materials using CVD, PLD, Sputtering or MOCVD systems for microelectronics and emerging sensor technologies. Key...
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on the synthesis of nanomaterials for applications in energy and the environment. Submit your CV at https://kaustforms.formstack.com/forms/yavuzlab_open_positions_form for consideration. The positions are available
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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 to the transition towards net-zero carbon emissions? The group of Prof. Anqi Wang at KAUST is recruiting several...
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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One postdoctoral position is currently available at King Abdullah University of Science and Technology (KAUST) for a collaborative project with a starting date of April 1, 2020. The candidate will
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This postdoc position is designed for a specialist in the fabrication and development of large-scale perovskite solar cells and modules. For this position, we are looking for a candidate with an
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The Bioengineering (BioE) Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) bridges the University’s
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This postdoc position is for a specialist in the fabrication of silicon heterojunction solar cells to be integrated into monolithic silicon perovskite tandem solar cells. For this position, we
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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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