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Researcher Profile Leading Researcher (R4) Positions Postdoc Positions Application Deadline 6 Apr 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Permanent Job Status Negotiable Hours Per Week 30
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
research outputs and an important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The lab of Dr. Kendrick Kay (http://cvnlab.net) at the Center for Magnetic Resonance Research at the University of Minnesota
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support
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- 23:59 (UTC) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a
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, Communication Sciences and Disorders, Bioengineering) based upon her/his research program. The successful candidate will be expected to bring vision and energy to developing the NUBIC, coordinating and managing
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medical, dental, vision, life & disability insurance, time off & leave, well-being and various voluntary benefits. Postdoc Scholars may also be eligible for retirement savings and tuition programs
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majors combined with other majors, and over 100 PhD students. The College of Science and Physics Department are in a vibrant expansion phase. The Department of Electrical and Computer Engineering (https
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23 Jan 2026 Job Information Organisation/Company IMT Atlantique Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI