34 parallel-programming-"University-College-Cork" positions at King Abdullah University of Science and Technology
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required. About the PSE Division and KAUST The Physical Science and Engineering Division comprises seven Degree Programs: Material Science and Engineering, Applied Physics, Earth Science and Engineering
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Administration and Support Services Jobs Engineering 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
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Administration and Support Services Jobs Engineering 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
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Administration and Support Services Jobs Engineering 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
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& Characterization, Extreme Computing, and Informatics. About you The postdoc researcher will be expected to take a leading role in developing and carrying out the research program. The project will require strong
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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 Bioscience Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) is launching a significant initiative
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or semi-structured field environments. Good hands-on experience in prototyping and testing electro-mechanical systems. Proficiency in Python and basic embedded programming. Expertise in electronics and
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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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and research infrastructure with the possibility to receive training on diverse instruments by experts in their fields. Skill diversification, e.g. programming courses in AI/ML and data visualization