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Materials Spectroscopy (SMS) Laboratory, http://spectroscopy.kaust.edu.sa Institution: Division of Physical Science & Engineering, King Abdullah University of Science and Technology (KAUST) Thuwal, Saudi
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optimization of large-scale, multiscale, or networked chemical processes. Special emphasis will be directed toward incorporating advanced algorithms, high-performance computing, uncertainty quantification
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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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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
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/Online. A project at the Composites Lab is characterized by the amalgamation of experimental and computational/modeling mechanics and encompasses people with very different backgrounds to ensure we capture
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understanding of KAUST's strategic vision, please refer to the following link: https://www.kaust.edu.sa/en/about/our-strategy. About KAUST and the PSE Division KAUST is an international graduate research
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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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computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can be found at www.kaust.edu.sa .
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The Data Center Inventory & Deployment Specialist for High-Performance Computing (“HPC”), including Shaheen III supercomputer at the Scientific Computing Center (“SCC”) and other Data Centers
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Professor Volker Vahrenkamp’s research team is currently recruiting for a 2-year Post-doc position in the dynamic carbonate research group (https://caress.kaust.edu.sa/ ) to study the shallow water