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intelligence, image understanding, or related areas Proficiency in Python programming; solid understanding of computer science fundamentals Experience with version control (GitHub) and AI coding assistants (e.g
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computational models and systems capable of performing complex tasks in strategic research clusters. The ideal postdoctoral candidate will have a strong background in robotics, computer vision, and
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, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. Department Addendum This is a
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focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
Qualifications, Competencies, and Experience * Demonstrated experience with Agentic AI, multi-agent systems, large language models (LLMs), Computer Vision and and Deep Learning architectures (CNNs
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science, biomedical engineering, applied mathematics, statistics, a quantitative biological discipline, or a related field. Demonstrated research experience in machine learning or computer vision
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python and deep learning libraries (pytorch) Proficiency in git, Docker, python, and SQL Experience in Medical Computer Vision Experience with Large Language Models and Generative AI Experience working
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learning computer vision models to classify mosquito breeding habitat on very high-resolution remote sensing data. The Postdoctoral Research Fellow will join an interdisciplinary team of physician
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The Center for Translational Neuromedicine (CTN) is part of the Faculty of Health and Medical Sciences, University of Copenhagen, and is located at Panum. CTN focuses on developing new approaches for
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Posting Description POSTDOCTORAL ASSOCIATE , Center for Sustainability Science & Strategy (CS3) to join an international team of scientists working as part of the global AGAGE network and a large