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applications. Implement onboard data processing pipelines using edge computing platforms (e.g., NVIDIA Jetson). Optimize system performance considering payload constraints, power consumption, and environmental
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and Facilities Management Jobs The KAUST School Jobs Elevate Program Join our Talent Community Search by Keyword Home Professional Life at KAUST Living at KAUST Career Areas Academic and Research Jobs
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functional materials toward energy/electronic devices that deliver reliable performance under demanding, real-world conditions. The group is led by Prof. Husam N. Alshareef (Ibn Alhaytham Distinguished
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Program or Materials Science and Engineering & Applied Physics Program. Candidates with expertise in mineral processing and extractive metallurgy, particularly in critical minerals relevant to the energy
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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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services programs and the implementation of the engineering project management work for major capital projects and facility upgrades; and/or supervise staff performing support and maintenance of engineering
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essential step of the entire hydrogen chain. Owing to their light weight, high specific strength, good fatigue response, and dimensional stability, the use of fiber-reinforced plastic pressure vessels for
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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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are partially open, providing substantial opportunity for the right person to shape the research direction. The position is part of a broader research program of the group, in line with KAUSTs Missions strategy
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applications. Improve material quality by reducing defects and enhancing large-area uniformity and continuity. Perform detailed structural, chemical, and electrical characterizations using XRD, SEM, TEM, Raman