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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural language
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, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming. Appointment, salary, and benefits. The appointment period is two years
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allowance, access to International Baccalaureate (IB) schools, exceptional community services, facilities, programs, and events to help you enjoy an active, healthy, balanced and fulfilled life at KAUST.
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predictors and interpreters for maps of damage and/or other fields, ensuring physics-based predictive maintenance. Plan and execute research tasks, analyzing data, publishing findings in peer-reviewed journals
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the integrity of compressed storage solutions. Plan and execute research tasks, analyzing data, publishing findings in peer-reviewed journals, and presenting research at scientific conferences. May participate in
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configurations in Energy applications. Lead the development of a unique experimental platform for in-situ characterization under environmental loading of laminated structures. Plan and execute research tasks
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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