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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Position Location North Carolina, US Hiring Range $68,000 - $72,000 Proposed Start Date 02/09/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
Proposed Start Date 01/05/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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for candidates with a Ph.D. in economics, management, political economy, or related areas with expertise either in game theory, particularly mechanism design or experimental methods and machine learning. The term
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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estimation, and tests for interactions; Designing methods to overcome numerical challenges. What do you have to offer You have a PhD in a topic that involved Bayes factor hypothesis testing. You can
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their gesturing or vocalization is manipulated. Tasks will include contributing to project theory and methods development on multimodal communication in song performance; using experimental methods that involve
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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/ Deep Learning (particularly Computer Vision or 3D perception) Verification & Validation (V&V) of advanced algorithms, software or systems Formal Methods Safety Engineering / Safety-Critical Systems