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through both academic and non-academic channels The project is multidisciplinary and in the project you will join a large team of researchers from different universities and disciplines. For this reason it
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involves interdisciplinary research on the development and evaluation of large language models for low-resourced langauges, primarily focusing on Danish and other Nordic languages. The research will focus
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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researcher to start as soon as possible. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate
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of Freiburg, founded in 1457, belongs to the best universities of Germany. Freiburg has a large international studen body and is located in the Black Forrest with a 30-minute drive to both Switzerland and
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agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website (https://hr.uw.edu/labor/2019/06/03/agreement-reached-with-uaw
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 43 minutes ago
quantification of geologic CO2 and CH4 emissions on large scales are challenged by the remoteness of emission sites, inaccurate attribution of emission sources, emission variability, and insufficient monitoring
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and nanoscience graduate program (www.inanoschool.au.dk) the center provides a full educational environment. In addition to the large base of basic research, the center has a large number of ongoing
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in this kind of environment will result in models too large to be handled and too instable to be solved. Data-driven approaches need to be used in addition to enrich the physics-based models