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to candidates having a strong record in developing novel computational strategies to solve complex physics problems with relevant experience in nonlinear analysis of pdes and parallel computation. FLSA Exempt
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● PhD (or foreign equivalent) in Applied Mathematics, Physics, Theoretical/Computational Biology
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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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for Advanced Mathematics for Energy Research Applications (CAMERA) has a new opening for a postdoctoral scholar to develop cutting-edge mathematics and algorithms to analyze complex data from Department
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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
involving complex fluids that interact with gases, other fluids, or solids. The role also includes examining how these systems respond to perturbations in material properties and environmental conditions. The
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 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 | 3 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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for downstream research and UUV operations. Model-Data Integration, Validation, and Analysis – 15% Integrate physics-based model outputs with observational and operational environmental datasets. Evaluate model
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Acceptable Education & Experience: A Ph.D. in applied mathematics, physics/applied physics, acoustics, or related discipline. Strong communication, writing, and programming skills. A demonstrated ability to