12 high-performance-computing positions at King Abdullah University of Science and Technology in Saudi Arabia
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in simulation, prediction, and analysis of large-scale and complex fluid systems. Special emphasis will be directed toward incorporating high-performance computing, advanced algorithms, machine
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2022 but may also start earlier. KAUST offers competitive/generous postdoc compensations. The Research Vision-CAIR group performs research and develops computational approaches in the following research
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of selected elements from the cathode materials. System level performance optimization of metal recovery processes. Publish research findings in high-impact journals and present at international conferences
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applications and other emerging technologies. Conduct detailed structural, chemical, and electrochemical characterizations of synthesized hard carbon materials. Analyze material performance using advanced
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genomics, protein engineering, cloning/assembly workflows, cell line development). You will work closely with computational experts to establish innovative, high-throughput, high-fidelity screening platforms
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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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primary interest on: Artificial Intelligence (preferably with a focus on NLP), Resiliency and Cybersecurity, Computer Systems and Networking, Future Computing Paradigms, and High Performance Computing
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electrochemical characterizations of synthesized hard carbon materials. Analyze material performance using advanced techniques such as XRD, SEM, TEM, BET, Raman spectroscopy, and electrochemical testing
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are in particular targeting development of data-driven high-performance computing techniques for unbiased discovery of generative models & theory and algorithms for network inference with special reference