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School of Mathematics and Natural Sciences

MATH REU

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At this REU site, undergraduate student researchers will collaborate closely with faculty mentors in the realm of Deep Learning and Applied Mathematics. Eight NSF-funded students join annually. Participants will engage in an intensive 8-week summer session from May 31 to July 25, 2026. To begin, participants will undergo a short course introducing the structures and coding of neural networks, as well as  their applications in dynamical systems of biological and physical models. Regular daily meetings with mentors will be scheduled to chart out the day's activities, and periodic team gatherings will encourage a consistent pace of advancement. Regular progress updates will be conveyed through weekly presentations. The culmination of your efforts will be showcased through a comprehensive final presentation, either in an oral or poster format, resembling a conference-style setup.

 

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