Neuromodulation therapies (DBS, TMS, LIFU) are promising treatments for neurological and psychiatric disorders, thought to work by modulating local neural activity and downstream connected circuits. This project aims to characterize multimodal network features associated with neuromodulation targets and imaging biomarkers to select optimal candidates, track brain remodeling, provide precise target locations, and predict long-term clinical outcomes. The role involves multimodal image preprocessing for biomarker identification, establishing image-guided neuromodulation targeting, collaborating with clinicians for research support, and applying machine learning to characterize biomarkers and predict targets, circuits, and outcomes.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree