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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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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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, 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 | 3 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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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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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 8 hours ago
of Department 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
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/postdoc-in-meaningful-human-con… Requirements Additional Information Website for additional job details https://www.academictransfer.com/364464/ Work Location(s) Number of offers available1Company
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Website https://www.academictransfer.com/en/jobs/363422/postdoc-in-monitoring-of-therma… Requirements Additional Information Website for additional job details https://www.academictransfer.com/363422/ Work
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for automated interpretation. Inferring user activity directly from aggregate or sub-metered power consumption is a challenging inverse problem: activity signatures are noisy, non-stationary, and often ambiguous
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methods to solid Earth problems and who integrate advanced computational approaches. Faculty Tenure Track Yes Faculty Rank Assistant Professor Position Number 4A3276 Department Earth Sciences Division