41 digital-signal-processing positions at King Abdullah University of Science and Technology
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, digital twins, and machine learning into process systems of industrial and societal relevance. Furthermore, we expect research proposals to align closely with the UN Sustainable Development Goals and to
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, and 2D/3D detection along with point cloud processing Required Technical Expertise: ○ Deep Learning Frameworks: PyTorch, TensorFlow ○ Computer Vision Libraries: OpenCV, scikit-image
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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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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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health, water, energy, environment and the digital domain. KAUST is a curiosity-driven, interdisciplinary KAUST brings together the best minds from around the world to advance research. More than 100
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, water, energy, environment and the digital domain. KAUST is a curiosity-driven, interdisciplinary KAUST brings together the best minds from around the world to advance research. More than 100 different
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encryption, authentication, and secure data transmission Integrate AI/ML models into web interfaces with real-time inference capabilities Create data visualizations for 2D, 3D, and point cloud data
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/molecular screens/assays (e.g., live-cell imaging, bioluminescence assays, digital PCRs, NGS) and the translation of gained insights into the generation of novel cell lines and vector formats (e.g., synthetic
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quality, safety, and performance standards. This role involves developing and implementing robust quality assurance processes, conducting audits, and monitoring Service Provider performance to ensure
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to finding solutions for some of the most pressing scientific and technological challenges in the world as well as Saudi Arabia in the areas of food and health, water, energy, environment and the digital