51 parallel-computing-numerical-methods positions at King Abdullah University of Science and Technology in Saudi Arabia
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-disciplinary expertise and activities in the following domain: Computational methods for bioengineering Topics of focus include (but are not limited to): Automation and robotics Genomics Biological imaging
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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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: The candidate should have expertise in machine learning and computational methods applied to seismic imaging, inversion, earthquake monitoring, or subsurface characterization. The candidate should have expertise
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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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approaches. We are now recruiting 3 postdoctoral researchers (https://postdoc.kaust.edu.sa/Pages/Home.aspx ) with a strong computational and/or theory background to develop novel computational methods. We
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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limited to Applied Analysis, Partial Differential Equations, Numerical Analysis, Scientific Computing, and Optimization. Candidates with portfolios that align with Saudi Arabia’s national priorities
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conventional simulators. Finite element-based methods such as Mixed-Finite-Element or Control-Volume methods are convenient thanks to their suitability for complex unstructured grids. Applications are sought
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The Statistics (STAT) program in the Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology
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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