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unique opportunity to actively shape the lab’s research agenda and work on ambitious, multidisciplinary projects. About KAUST Established in 2009, King Abdullah University of Science and Technology (KAUST
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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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. The candidate will work in a transdisciplinary environment to develop a nanofiber acoustic sensor platform, identify best suited nanomaterials, fabricate and characterize the nanofibers, build and characterize
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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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, encompassing organic and polymer chemistry, membrane science and engineering, and electrochemistry and electrochemical engineering. Drawing on these complementary specialisms, we focus on the function-led design
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generous benefits. The candidate will collaborate with a multidisciplinary team at KAUST and KAU. The successful applicant will become a part of the Ali I. Al-Naimi Petroleum Engineering Research Center
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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
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fractures can play a key role on production performance. One of the persisting challenges is to create complex 3D fracture networks and solve multiphase flow efficiently. None of the existing tools can
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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