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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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want to hear from you! Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant
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24 Nov 2025 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
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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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Vacancies Researcher (Postdoc) in Off-Road SLAM and Advanced Perception USP – Unique selling point Key takeaways Are you passionate about autonomous systems and advanced perception techniques? We
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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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) if you have any questions. Thank you! Postdoc position for experimental fluid dynamics: Please submit your application at https://apply.interfolio.com/174332 by 12/01/2025. PhD opportunity will be a joint
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours 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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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