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generous research funding and access to core laboratories with state-of-the-art equipment for genomics and high-performance computing. For more information about living and working at KAUST, please refer to
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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
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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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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 be involved in the three-year project “High Dimensional Hierarchical Optimization methods for...
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The Innovations in Desalination Technologies Theme at Water Desalination and Reuse Center (WDRC) in King Abdullah University of Science and Technology (KAUST), invites suitably qualified applicants holding a PhD in chemical, environmental or process engineering, to apply for a full-time...
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural