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<p><span>Applications are invited for a postdoctoral researcher in
the Department of Applied Mathematics at the University of
Colorado-Boulder under the supervision of faculty David Bortz
and Stephen Becker.</span><br>
<br>
<span>Priority will be given to applicants with expertise in one
or more of the following areas: scientific machine learning,
weak form-based methods, equation learning, reduced order
modeling, operator learning, parametric differential equations,
randomized numerical linear algebra, and optimization
(specifically multi-fidelity, stochastic, derivative-free and/or
PDE-constrained). Potential application areas include collective
motion, plasma physics related to fusion, cell migration,
scientific data compression, and mathematical epidemiology.</span><br>
<br>
<span>Please see the following websites for more information about
potential research topics:</span></p>
<p><br>
<a href="https://amath.colorado.edu/faculty/becker/" title="Unmangled Microsoft Safelink">amath.colorado.edu/faculty/becker</a><br>
<a href="https://www.colorado.edu/amath/david-bortz" title="Unmangled Microsoft Safelink">https://www.colorado.edu/amath/david-<span data-markjs="true" class="markvmwqyq1xg" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="">bortz</span></a><br>
<a href="https://www.siam.org/publications/siam-news/articles/the-weak-form-is-stronger-than-you-think/" title="Unmangled Microsoft Safelink">www.siam.org/publications/siam-news/articles/...</a></p>
<p><br>
<span>Applicants may apply electronically at </span><a href="https://jobs.colorado.edu/jobs/JobDetail/?jobId=60515" title="Unmangled Microsoft Safelink">jobs.colorado.edu/jobs/JobDetail/?jobId=60515</a><span>,
and review of applications will begin on December 15, 2024.</span></p>
<br>
<br>
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Stephen Becker<br>
Dept. of Applied Math<br>
University of Colorado Boulder<br>
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