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, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and discrete optimization, computational optimization, inverse problems, and optimization methods
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discrete optimization, computational optimization, inverse problems, and optimization methods for scientific and engineering applications. Dynamical and complex systems: nonlinear dynamics, mathematical
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, inverse problems, optimization, numerical analysis. The projected base salary range is $100,000-$114,373 which represents the full range of anticipated compensation for this position. Compensation is
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
research opportunity invites a participant to investigate that coupling in both directions in support of NASA's microwave remote sensing missions. In the forward direction, physically based inversion of soil
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Continuation Methods;Mesh Refinement Strategies; Convection dominated transport and Hyperbolic PDEs;Inverse Problems in Chemical Engineering; Computational Geometry of Surfaces. Process Dynamics and Control
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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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, formal verification, proof assistants, automated proof search, and AI-guided mathematical discovery; neural operators, physics-informed learning, inverse problems, uncertainty quantification, and rigorous
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
perturbative matching. Experience with lattice QCD software frameworks (e.g., Chroma, QUDA, Grid) and GPU computing. Experience with statistical analysis of large Monte Carlo datasets, including inverse-problem
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 21 hours ago
The Department. The Department of Earth, Environmental and Geographical Sciences (https://geoearth.charlotte.edu/ ) is a diverse community of physical, geospatial, and social scientists composed of over 35 faculty