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(PDE) and to deliver high-quality teaching to both graduate and undergraduate students. Candidates with research interests in new interdisciplinary developments and applications related to PDE and strong
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positions duration 24 months expiration date October 5, 2026 at 1:00 pm. Where to apply Website https://www.unipi.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies
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The research group of Prof. Taoufik Hmidi at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to conduct research in partial differential equations (PDEs), mathematical fluid
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, such as statistical learning, causal inference, experimental design, probability, stochastic PDEs, algebraic statistics, normalizing flows, scientific machine learning, optimization, inverse problems
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candidates must be within numerical methods for ODEs and PDEs. A solid background in both the following fields is required: Numerical analysis for ODEs and PDEs Scientific programming using Python, MATLAB, C
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
’. Information on the Analysis and PDE group and the NSF RTG can be found at https://tarheels.live/waves/. If renewed, in the subsequent year, the position will likely be as a Departmental Postdoc. This one-year
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to Search Postdoctoral Research Associate - Extreme NLO Interactions in Semiconducting Materials Posting Number req27178 Department James C Wyant Coll Optical Sci Department Website Link https
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analysis, PDEs, integral geometry, and mathematical physics. In accordance with USCIS regulations, successful applicants must be legally able to accept work in the United States. Visa sponsorship is
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-month, full-time (1.0 FTE), position. The search is open to all areas of mathematics, with candidates in partial differential equations (PDE) and algebra especially encouraged to apply. Candidates should
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differential equations (PDEs). Full-waveform inversion is a powerful approach to such problems, but its practical use is limited by the strong nonlinearity of the inverse problem and by the computational cost