27 learning positions at King Abdullah University of Science and Technology in Saudi Arabia
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learning. A suitable candidate should have publications in good venues, mainly CVPR, ICCV, ECCV, ICLR, NeurIPS, Siggraph, and Siggraph Asia. Various research topics are available and the exact research topic
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the Climate and Livability Initiative (CLI). The successful candidate will engage in machine learning (ML) and artificial intelligence (AI) projects aimed at forecasting natural hazards, assessing climate
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and functions properly. Other Essential Accountabilities Continuous Improvement Regularly review and update safety protocols and procedures based on lessons learned from incidents, advances in diving
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and Livability Initiative (CLI). The researcher will leverage machine learning (ML) to enhance natural hazards forecasting, climate change impact assessment, and water resources assessment
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Bioinformatics (generative protein design) Methodology (machine learning, deep learning, and AI) for analysis and prediction of genotypic variation Methodology (machine learning, deep learning, and AI
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analysis (e.g., paper-based droplet systems) Nanopore transport Digital/droplet, analytical and reactor microfluidics Organs on a chip for diagnostics and drug discovery Methodology (machine learning, deep
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biosynthesis Biomolecular design: engineering proteins, enzymes, and other biomolecules with specific properties with AI or machine learning Cell-free expression systems: utilizing isolated cell components
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in the area of Computer Science and Engineering. Particular areas of interest are machine learning, artificial intelligence, computer architecture, embedded systems, and their applications. Applicants
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to teach courses. Proficiency in online teaching, online course preparation and database integration is a plus. In addition to the teaching responsibilities, the Instructional Faculty will have professional
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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