17 environment Postdoctoral research jobs at King Abdullah University of Science and Technology in Saudi Arabia
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platform in the field of testing composite materials for in-situ testing in conditions relevant to the energy sector (high pressure, high temperature, extreme environments). Participate in the generation
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Science and Engineering Division. The Composites Lab started at KAUST in 2009 and is an integrated environment for composite science, combining modeling and experimental expertise in a single working
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, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. KAUST provides a highly collaborative research environment, and active engagement
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students, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. In addition, KAUST provides a highly collaborative research environment, and
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Science and Engineering Division. The Composites Lab started at KAUST in 2009 and is an integrated environment for composite science, combining modeling and experimental expertise in a single working
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of a team while building the foundation of their own research independence. What we offer: Conduct cutting-edge biomedical research in a state-of-the-art environment. Access to supreme core facilities
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and Environmental Sciences and Engineering (BESE) Division at the King Abdullah University of Science and Technology (KAUST) (https://www.kaust.edu.sa/en/study/faculty/david-gomez-cabrero ). The project
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research on the synthesis of nanomaterials for applications in energy and the environment. Apply at https://kaustforms.formstack.com/forms/hiring_yavuzlab for consideration. The positions are available
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world for citations per faculty according to QS rankings and offers an unparalleled environment for innovation and research. For more information, visit www.kaust.edu.sa . About CREST The Center for Renewable Energy
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Environment exposed to high pressure / high temperature / mechanical and environmental loading. Develop accelerated multiscale approaches using AI-based scale transition and homogenization. Develop AI-based