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Serve as the Lead for the team ensuring smooth operation of the Linux cluster consisting of 300+ GPU/CPU compute nodes including parallel filesystems and high-performance network. This is partly
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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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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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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holobionts and/or ecosystems Spearhead the development and application of quantitative models for organismal or systemic networks, across a spectrum of marine life, that can include, for example, microbiomes
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, elevators, electrical networks (high and low current), building automation systems, and fire alarm systems. Key responsibilities include client interaction, coordination and supervision of maintenance
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Be a key member of the team administering KSL’s supercomputers, storage and other related infrastructure. Large-scale Linux system administration expertise, expert level configuration management
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a need for this (e.g., reference letters), and a Zoom interview will be scheduled.
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in a connected context, investigating how accelerators can be designed, integrated, and scaled for emerging large scale and networked applications. We are interested in new ways of virtualising
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. This includes facies analysis, environmental research, diagenesis, pore-network analysis and stratigraphy. Additional ideas will also be considered. A multitude of data is already available including shallow