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data-analysis, information theory, unsupervised learning and artificial intelligence, programming, appropriate numerical schemes and efficient implementation of algorithms. Positions include (i) theory
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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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, electrical and optical characterizations. This position requires conducting translational research in next-generation large-area nanofiber acoustic sensor platforms in structural health monitoring applications
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, please contact pwonka@gmail.com or upload an application. As a KAUST postdoc or researcher, you will have access to state-of-the-art research facilities. You will work in an exciting international
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, programming, and connecting accelerators to enhance performance, latency, and efficiency in emerging applications. Our current projects are exploring hardware acceleration in smart NICs, application-specific
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and synthesis of microporous polymers and their applications in electrochemical processes for energy storage and conversion. You will independently lead a research direction within the group, while
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Modeling naturally fractured reservoirs is re-gaining interest in the Oil & Gas industry and academia for application in carbonate fractured reservoirs and unconventional reservoirs where natural
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feasibility studies of CCS using mechanistic modeling and simulation including uncertainty analysis and risk assessment. Applications are sought for a 1-to-2-year postdoctoral fellow position. The position