Research topics: The Computational Neuroscience Laboratory (CNS LAB) aims to identify biomedical phenotypes improving the mechanistic understanding, diagnosis, and treatment of neuropsychiatric disorders.
Techniques: The biomedical phenotypes are discovered by unbiased, machine and deep learning-based searches across biological, neuroimaging, and neuropsychological data.
Seeking undergrads for: Academic year, Summer
Location: Flexible, with possibilities for remote or on-campus research projects
Required skills: Programming experience -- Excited about problems in neuroscience and medical applications; fast learner; reliable and able to work effectively both in a team and individually
This lab is particularly interested in mentoring: Undergrads from backgrounds that are underrepresented in STEM, Undergrads without previous exposure to laboratory research
How to apply: Contact Dr. Pohl (email@example.com)
Project information: We are looking for students interested in research at the intersection of Artificial Intelligence, Medical Image Analysis, and Computational Neuroscience to collaborate with our group in multiple exciting projects. The projects include but are not limited to: