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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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sensor prototypes. About KAUST KAUST is an international graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located in
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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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in a connected context, investigating how accelerators can be designed, integrated, and scaled for emerging large scale and networked applications. We are interested in new ways of virtualising
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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