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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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19 Sep 2026 Job Information Organisation/Company CNRS Department Institut de physique et chimie des matériaux de Strasbourg Research Field Engineering Computer science Mathematics Researcher Profile
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computing. The research will be conducted jointly between the Hamilton Institute and Department of Electronic Engineering, with the researcher also becoming a member of the Sustainable Circuits and Systems
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mixtures, including information retrieval, random access, approximate search, querying and filtering, encryption, compression, and many other information-processing tasks. Our team is looking for a talented
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as a material to enhance sustainability in packaging applications, but this material is highly variable and its post-processed material properties are unpredictable. We intend to investigate various
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(6 ) Computer, Information, and Data Sciences (15 ) Earth and Geosciences (17 ) Engineering (22 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (34 ) Mathematics
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Associate position focusing on control systems engineering, artificial intelligence (AI), and scientific machine learning (SciML) applied to nuclear fusion energy. The successful candidate will join the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
Physical Sciences (APS) is the first new science department in the College of Arts and Sciences in nearly 40 years. APS lives in the collaborative space between science and engineering, combining knowledge
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
and diagnostics, translating process-level understanding into parameterizations for realistic Antarctic ice shelves, and investigating the strengths and limitations of different modeling systems