59 cloud-computing-phd-student positions at King Abdullah University of Science and Technology in Saudi Arabia
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fundamental discoveries in catalysis, polymer chemistry, and materials science with industrial applications in carbon fiber production. Mentor and train graduate students and postdoctoral researchers in carbon
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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
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The Field Engineer will support the development and deployment of a laser-based system. This role requires hands-on prototyping, electronics development, and software integration for real-time sensing and control. The candidate should have strong field experience, be comfortable working in...
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, KAUST has state-of-the-art equipment, research, and recreational facilities and record-breaking computational resources and welcomes exceptional researchers, faculty, and students from around the
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Three postdoctoral positions at the King Abdullah University of Science and Technology (KAUST) under the mentorship of Prof. Jürgen Schmidhuber.This project, located at the intersection of Reinforcement Learning and Material Science, focuses on developing innovative solutions for the discovery...
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generous funding for research, a cutting-edge genomics facility, and top-tier high-performance computing infrastructure, fostering an excellent environment for genomics-based research. The position is fully
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-of-the-art labs, distinguished faculty and talented students. KAUST brings together the best minds from around the world to advance research. More than 120 different nationalities live, work and study on
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We invite applications for multiple Postdoc positions in the Accelerated Connected Computing Lab (ACCL) at KAUST! The new research group, supervised by Suhaib Fahmy explores hardware acceleration
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domain. KAUST is a curiosity-driven, interdisciplinary problem-solving environment, with state-of-the-art labs, distinguished faculty and talented students. KAUST brings together the best minds from around
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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