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Vacancies Researcher (Postdoc) in Off-Road SLAM and Advanced Perception Key takeaways Are you passionate about autonomous systems and advanced perception techniques? We offer an exciting
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Qualifications/knowledge : PhD in computer science, with a specialisation in computer vision, digital geometry processing and/or machine learning. No specific knowledge about plants is required. Operational skills
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interdisciplinary environment. A solid background in at least one of the following areas is preferred: artificial intelligence, artificial vision, brain–computer interfaces, neural engineering, or computational
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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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: 02/02/2026 Term from 02/02/2026 Temporary employment to: 01/31/2027 Job Reference Number: 36400-2025-001741 Job Duties: Conduct research in the field of Computer Vision (especially in the context
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research community. Responsibilities Technical Leadership: Provide vision, technical expertise, and direct support for computational research needs in academic departments across the university, including
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
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, and benefits and services
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to the translation of the four core optogenetic approaches to restore i) hearing and ii) vision and explore the potential of optogenetics for iii) gastric pacemaking and iv) brain-computer interfaces. These four teams
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of life and satisfaction of its residents. https://www.enjoynordjylland.com/ Your work tasks The position is offered in relation to the EU-funded research program "STRONG UR, Strategies for optimized
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence