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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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sensing, including Ultrasound and Hyperspectral Imaging (HSI), Artificial Intelligence (AI) and Tiny Machine Learning (TinyML). Duties As a Postdoctoral researcher you are expected to perform both
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Post Doctoral Scholar in AI for Geophysics/Geoscience position. This position is supported through the NSF Collaborations in Artificial Intelligence and Geosciences Program. The position is based in
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for neurovascular interventions. The successful candidate will develop and evaluate medical robotic systems with artificial intelligence capabilities for vascular navigation using catheter and guidewire technologies
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for referees We value authentic, self-made applications over those generated by artificial intelligence. For further inquiries, please contact Project Coordinator Alyce Whipp at [email protected] . If you
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teaching centers, working in the fields of materials and civil engineering (C2MA), the environment and risk (CREER), and artificial intelligence and industrial and digital engineering (CERIS). It has 12
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on artificial intelligence and causal inference for the social sciences, in close collaboration with the Data Science and AI division at Chalmers. The employment This employment is a temporary contract of two
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staff position within a Research Infrastructure? No Offer Description The Institute of Biomedical Engineering conducts research at the intersection of medical wearables, artificial intelligence, and
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) Laboratory. The group develops clinically grounded artificial-intelligence and data-science methods to derive scalable digital biomarkers from echocardiography, cardiac computed tomography, electrocardiography
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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications