Announcements of Opportunity
SURF: Announcements of Opportunity
Below are Announcements of Opportunity posted by Caltech faculty and JPL technical staff for the SURF program. Each AO indicates whether or not it is open to non-Caltech students. If an AO is NOT open to non-Caltech students, please DO NOT contact the mentor. Announcements of Opportunity are posted as they are received. Please check back regularly for new AO submissions!
Remember: This is just one way that you can go about identifying a suitable project and/or mentor. Click here for more tips on finding a mentor. Announcements for external summer programs are listed here.
*Students applying for JPL projects should complete a SURF@JPL application instead of a "regular" SURF application.
*Students pursuing opportunities at JPL must be U.S. citizens or U.S. permanent residents.
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Project: | Novel MRI Methods | ||||||||
Disciplines: | Computer Science, Mathematics, Physics, Electrical Engineering | ||||||||
Mentor: |
Shreyas Vasanawala,
Professor, (EAS),
admin_vasanawala@stanford.edu, |
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Mentor URL: | https://profiles.stanford.edu/shreyas-vasanawala (opens in new window) | ||||||||
AO Contact: | Marissa Lee, admin_vasanawala@stanford.edu | ||||||||
Background: |
NOTE: This project is being offered by a Caltech alum and is open only to Caltech students. The project will take place at Stanford University in Stanford, CA. Depending on student background and interest, projects range from simulation of nuclear magnetic spin evolution, model-based solutions to inverse problems, imaging sensor development, or deep learning approaches to medical imaging. |
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Description: | Depending on student background and interest, projects range from simulation of nuclear magnetic spin evolution, model-based solutions to inverse problems, imaging sensor development, or deep learning approaches to medical imaging. | ||||||||
References: | https://profiles.stanford.edu/shreyas-vasanawala | ||||||||
Student Requirements: | Possible backgrounds include quantum mechanics, linear algebra, python, deep learning | ||||||||
Programs: |
This AO can be done under the following programs:
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