Students will analyze large datasets from modern magnetic resonance imaging techniques, contributing to sub-projects including data collection and analysis, applying graph theory models, and development of software tools.
Modern magnetic resonance imaging techniques like diffusion tensor imaging and functional imaging can provide a wealth of information about the brain in both health and disease. We are collecting large datasets that can quantify brain connectivity, and need help analyzing them. In particular, we are looking for students to help with various sub-projects including: delineating brain regions, collecting and collating data, analyzing connectivity data, applying graph theory methods, and potentially helping develop software tools.
The specific outcomes of this project will be identified by the faculty mentor at the beginning of your collaboration.
|Length of commitment||To be determined by student/mentor|
|Start time||Fall, Spring, Summer|
|Level of collaboration||To be determined by student/mentor|
|Benefits||Academic Credit, Salary/Stipend, Volunteer, Work Study|
|Who is eligible||Students with some background in either computer science or biology (preferably neuroscience), programming/linux familiarity a plus|
Students participating in this project might be interested in and eligible for the Goldwater Scholarship and the National Science Foundation Graduate Research Fellowship. Connect with the Office of Fellowships and Scholarships to learn more.
The specific preparation activities for this project will be customized through discussions between you and your project mentor. Please be sure to ask them for the instructions to complete the required preparation activities.