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, food security, health, and marine environments for the Kingdom and the world. KAUST (https://www.kaust.edu.sa ) is an international, graduate-only, research university, located on the shores of the Red
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, spectroscopy, and electrical performance, and who is comfortable working in a collaborative experimental environment. If you are enthusiastic about working at the forefront of organic electronics and functional
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 3 hours ago
candidates for open-rank positions (i.e., Assistant, Associate, and Full Professor) who will bring new insights, tangible solutions and renewed focus to sustainable food production, controlled environment
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 3 hours ago
visit http://www.kaust.edu.sa . More information about the BESE Division is available at https://bese.kaust.edu.sa/ . For questions regarding this position or the application process, please contact
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minerals; energy efficiency; renewable energy technologies; and sustainable fuels. Within this framework, a faculty position in Materials for Extreme Environments & Sustainable Energy Transitions is
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research group and KAUST can be found under the following links: http://peterwonka.net/ https://cemse.kaust.edu.sa/vcc https://www.kaust.edu.sa/en If you are interested in joining us, please contact pwonka
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environment at KFUPM in a newly established center focusing on Quantum Condensed Matter Physics and Quantum Computing (Interdisciplinary Research Center for Advanced Quantum Computing, AQC). This center is
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centered on the unique marine environment of Al Wajh (https://www.redseaglobal.com/en/ ). The Red Sea has experienced dramatic sea-level variations and temporary climate shifts from arid to humid conditions
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visit: https://www.kaust.edu.sa https://www.kaust.edu.sa/en/live/community-life https://bese.kaust.edu. At KAUST, we attract people from all around the world who want to create impact beyond their own
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https