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of experience in at least one area relevant to the research, such as data assimilation, optimization, inverse problems, Bayesian methods, uncertainty quantification, numerical modeling, atmospheric transport
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, inverse trigonometry, Riemann sums, and vertical integration (dy vs dx). It is intended to help those students more likely to struggle in Math 152 to pass the class successfully. Position Status Part Time
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activities under a supervisor’s guidance while supporting the lab’s mission to develop accessible and effective genetic therapies. Application Review Date The First Review Date for this job is October 15, 2026
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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
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experience in at least one of the following areas (or a closely related area): convex analysis and optimisation, inverse problems, calculus of variations, partial differential equations, operator learning
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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | about 23 hours ago
of muscle diseases from HM-CARS images. The work will combine AI-based approaches with optimization-based methods, notably by formulating spectral unmixing as an inverse problem and developing advanced
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experimental datasets, image series, or complex spectroscopy using languages such as MATLAB, Python, C++, or equivalent tools (e.g., Abel inversions, tomographic algorithms). Ability to design, troubleshoot, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours 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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, 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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undergraduate and graduate teaching, as well as excellence in research. Faculty research interests include algebra, analysis, combinatorics, differential equations, geometry, inverse problems, math education