63 optimization-nonlinear-functions positions at King Abdullah University of Science and Technology
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of selected elements from the cathode materials. System level performance optimization of metal recovery processes. Publish research findings in high-impact journals and present at international conferences
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technologies. Key Responsibilities: Develop and optimize hard carbon synthesis processes using bio-based and non-bio-based precursors. Explore innovative methods to enhance material properties for energy storage
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essential step of the entire hydrogen chain. Owing to their light weight, high specific strength, good fatigue response, and dimensional stability, the use of fiber-reinforced plastic pressure vessels for
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facilities, including a supercomputer. You will work in an exciting international environment with researchers from over 100 nationalities and will have the opportunity to participate in the development
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drylands agriculture to apply to broaden and deepen our investigation into the effects of our soil amendment technologies for boosting water-use and nutrient-uptake efficiencies in deserts. We welcome recent
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and deepen our investigation into the effects of our soil amendment technologies for boosting water-use and nutrient-uptake efficiencies in deserts. We welcome recent graduates with BS or MS or PhD with
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an experimental virologist, our group utilizes the vast spectrum of virus diversity and directed evolution to probe for optimal engineering solutions in mammalian systems with the full use of synthetic tools. Under
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We seek a highly motivated Post-Doctoral Fellow to join MCEM (Mechanics of Composites for Energy and Mobility). As a key member of our organization, you will play a pivotal role in developing a new
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& Characterization, Extreme Computing, and Informatics. About you The postdoc researcher will be expected to take a leading role in developing and carrying out the research program. The project will require strong
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, https://www.nature.com/articles/s41586-024-07808-z ). Building on this work, this project aims to further expand our understanding of wheat domestication history and evolution by generating and analyzing