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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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advanced battery technologies with strong translational and commercialization potential. The project focuses on next-generation batteries in three parallel research directions: extreme-temperature (high
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The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep
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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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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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) 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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and synthesis of microporous polymers and their applications in electrochemical processes for energy storage and conversion. You will independently lead a research direction within the group, while
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. Responsibilities Development and optimization of perovskite-based solar cells at different levels. Developing large-area perovskite solar cells utilizing KPV-LAB's baseline processes. Performing accurate device
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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applications as soon as possible. Required Field(s): · Advanced fabrication process of emitting devices, mainly laser diodes . · Materials: wide-band gap nanostructure devices (mainly oxides, III