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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support professional development and a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support professional development and a
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. The position is a three-year role, located in the Department of Computer Science at Aalborg University's Technical Faculty for IT and Design. In addition to the Department of Computer Science, the project
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) Application Deadline 11 May 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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. In particular, he/she will be expected to :• Select and evaluate the most suitable approaches from the wide range of machine learning and computer vision methods available in the literature, with
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for a two-year postdoc, ideally starting August 1st, 2026. The position will encompass the ethnographic study of wind energy infrastructure development in Norway. The postdoc is part of the Sapere Aude
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Researcher (R3) Application Deadline 22 Apr 2026 - 09:54 (UTC) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish
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of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a
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for the candidate The candidate will not only deepen and enrich their expertise in AI and computer vision, but also become familiar with using AI to handle curvilinear features which are ubiquitous in many domains