26 maynooth-university-programmable-city-project Postdoctoral positions at King Abdullah University of Science and Technology
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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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for three references About KAUST: King Abdullah University of Science and Technology (KAUST) is an international graduate-level, merit-based research university dedicated to advancing scientific and
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. Developing bottom cells at different scales (from 1 by 1 cm2 to 6 by 6 inch2) utilizing the PECVD-PVD cluster. Performing device characterization, and modeling aimed at champion PCEs. Manage project tasks
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characterization. Fabrication and large scale module characterizations. Manage project tasks towards successful completion. Dissemination of the research outputs in project meetings, peer-reviewed journals, and
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One postdoctoral position is currently available at King Abdullah University of Science and Technology (KAUST) for a collaborative project with a starting date of April 1, 2020. The candidate will
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topics. Candidates should have some experience working with FPGAs as well as an understanding of computer networks. Experience with both RTL and HLS design is favoured. The ideal candidate would have some
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We solicit applications for experienced Agronomists for Professor Himanshu Mishra’s research Group in King Abdullah University of Science and Technology (KAUST), Saudi Arabia (https
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict