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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 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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-resolution or single-molecule imaging. ● Experience with machine learning/deep learning for bioimage analysis, including model application, validation and/or development. ● Experience with optical development
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interested in candidates with a strong technical background in medical image computing, machine learning, computer vision, or multimodal AI, together with excellent programming and communication skills
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-image pipeline producing around thirty machine images, a self-hosted monitoring platform, a centralized security-logging pipeline, and in-house compliance and security automation — all managed as code in
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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at a computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving
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algorithms for computer vision, image processing, imaging, and/or physics-informed reconstruction. Scientific track record with publications at internationally renowned venues in machine learning. Solid
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clinical or imaging-based research. Familiarity with vascular imaging software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable. Demonstrates strong
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work processes Proficiency with Microsoft Office 365, with the ability and willingness to perform basic computer tasks and learn computer programs Preferred Skills/Experience areas include: Advanced