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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
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, free housing and subsidized medical insurance. For more information about living and working at KAUST, please visit https://www.kaust.edu.sa/en/live If you are enthusiastic about working at the forefront
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information about the 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
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for structural health monitoring applications. The candidate will work in a transdisciplinary environment to develop and characterize nanofiber materials, as well as to build and test sensor prototypes.
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We use cookies which are necessary to make our site work. We may also use additional cookies to analyse, improve and personalise our content and your digital experience. For more information, see