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are in particular targeting development of data-driven high-performance computing techniques for unbiased discovery of generative models & theory and algorithms for network inference with special reference
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Prof. Suzana Nunes at KAUST has open positions for highly qualified postdoc candidates to work in polymeric membrane development from lab to semi-technical scale to start in April 2021. Information
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2022 but may also start earlier. KAUST offers competitive/generous postdoc compensations. The Research Vision-CAIR group performs research and develops computational approaches in the following research
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of Reinforcement Learning and Material Science, focuses on developing innovative solutions for the discovery of novel chemical materials for direct air capture (DAC) technologies. By joining our team, you will
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molecular biology to address critical questions in genome biology, evolution, and disease resistance of wheat. Our mission is to perform impactful, curiosity-driven research that translates into crop
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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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We invite applications for multiple Postdoc positions in the Accelerated Connected Computing Lab (ACCL) at KAUST! The new research group, supervised by Suhaib Fahmy explores hardware acceleration
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Are you passionate about developing advanced polymeric materials for electrochemical energy storage and conversion, including batteries, fuel cells, and electrolyzers, to contribute
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integrate complex flow on Discrete Fracture Networks (DFN). The objective of this project is to develop a tool to generate DFN models amenable for multiphase flow, and scale up the model to be usable with