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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
of structure formation, and related research can help to derive the stress mechanisms that have affected the icy satellites through their preserved geological histories. Proposals on other related icy satellite
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. The researcher will contribute to the HySUCCESS project (https://groenvermogennl.org/project/hysuccess/ ), part of the national GroenvermogenNL initiative supporting the development of a sustainable hydrogen
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Singapore (IGS) offices, located on the campus of the National University of Singapore. This role will work across materials science, device engineering, electrochemistry, and in collaboration with
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York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property
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-decorrer-bolseiros/ Work Location(s) Number of offers available1Company/InstituteCoimbra Institute of Engineering (ISEC)CountryPortugalGeofield Contact State/Province Portugal City Coimbra Website https
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» Policy studies Political sciences » Public policy Sociology » Social shaping of technology Sociology » Societal behaviour Researcher Profile Recognised Researcher (R2) Country Netherlands Application
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perform functional readouts such as calcium imaging and electrophysiology. Where to apply Website https://www.academictransfer.com/en/jobs/356705/phd-researcher-development-of-h… Requirements Specific
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14 Nov 2025 Job Information Organisation/Company Artois University Research Field Engineering » Civil engineering Engineering » Materials engineering Researcher Profile Recognised Researcher (R2
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. Context-engineering automation for agentic AI As ING scales up its agentic AI capabilities, the manual design of context, i.e., how AI agents collect, structure, and prioritize information, remains a major
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. Contribute to ongoing projects, such as: AI-based modeling of cortical circuit structure and function from single-cell transcriptomic data. o AI-based super-resolution of low-field MR images in developing