Mentor Areas
Dr. Tisdall's group develops new magnetic resonance imaging and analysis methods to expand the range of questions that MRI can answer. We work to make MRI more useful in challenging populations (e.g., subjects who can't stay still), expanding fast, accurate neuroimaging to the very young, old, and ill. We also work to make MRI more sensitive to lifespan changes and disease processes, helping better understand them in the lab and in life.
Description:
Projects include the development and implementation of algorithms for the reconstruction and analysis of magnetic resonance imaging data.
Preferred Qualifications
Students should have experience programming computers using languages such as Matlab, python, Julia, or C/C++. Although not required, students with background in signal processing and/or numerical optimization will have opportunities to apply these skills to imaging data.
Details:
Preferred Student Year
Junior, Senior
Academic Term
Fall, Spring, Summer
I prefer to have students start during the above term(s).Volunteer
Yes
Yes indicates that faculty are open to volunteers.Paid
No
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
No
Yes indicates that faculty are open to hiring work-study-eligible students.