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Field
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice
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nonlocal resonances within a single, compact system, these metasurfaces enable multi-wavelength, narrowband, and spatially tailored functionalities in ultra-thin devices. The primary objective
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. This position requires: Research experience in the mentioned areas of land (in a broad sense, including housing, macroeconomics, labor, urban, spatial economics, political economy, and conflict). Excellent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital
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for working on interdisciplinary teams. This position requires: Research experience in the mentioned areas of land (in a broad sense, including housing, macroeconomics, labor, urban, spatial economics
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We are now looking to appoint a postdoc in organic bioelectronics, placed in the Laboratory of Organic Electronics at the Department of Science and Technology, Campus Norrköping. Research area To
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. The Department of Architecture offers degree programs in architecture, landscape architecture, and interior architecture. For more information, please see http://architecture.aalto.fi/en/ . We are now looking for
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Director, the individual will oversee the physical operations of a large and complex department, serving as the primary resource for department faculty, staff, students and postdocs regarding operational
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Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application Deadline 1 Aug 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded
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constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms. The project will consider