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Field
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and analysis Gaussian processes, random functions, rare events, harmonic analysis Shira Faigenbaum-Golovin Manifold learning, shape space analysis, machine learning, mathematics of data
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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Duke University, Mechanical Engineering and Materials Science Position ID: Duke -MEMS -PDAQUINO [#30494] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27701
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: 277839347 Position: Postdoctoral Research Associate Description: Postdoctoral Research Associate and Associate Research Scholar PositionsPrinceton Precision HealthPrinceton UniversityThe mission
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
of Computer Science at the University of North Carolina at Chapel Hill seeks a talented, highly motivated postdoctoral researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 minutes ago
researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 23 hours ago
combination of observational data, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO) and General Observer (GO) programs
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions for SDA