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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign
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School The School consists of the Departments of Physics and Astronomy, and Chemistry. It is one of five schools in the Faculty of Science and Engineering. The School is a dynamic environment, home to over
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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focus on charge injection, ion transfer, and structural dynamics in realistic and model systems for battery materials. The position will span experimental efforts at large scale X-ray facilities, handling
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sea food web dynamics over time in response to environmental factors and human-induced pressures. Within the project it is possible to work on all these parts or focus more on some of the questions
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dynamic place for residents and visitors. Application Process Review of applications will begin as soon as possible and will continue until the position is filled. To apply, please submit a cover letter
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Researcher in the Representation Theory and Algebraic Combinatorics Unit The Okinawa Institute of Science and Technology Graduate University (OIST; see www.oist.jp ) is a dynamic new graduate university
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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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the natural sciences. The position offers access to top-tier academic and industry research ecosystems and is ideally suited for researchers seeking to push the boundaries of geometric and graph-based learning
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning