The student will help develop both patient-facing and clinician-facing interfaces to a diagnostic/assessment system for cognitive function. This system is based on statistics derived from machine learning, and some work in those areas is possible.
The student(s) will work with a larger team, attend periodic meetings to provide and receive feedback, and provide properly commented source code.
3rd or 4th year, CS or ECE, CGPA >= 3.4. Proficiency in web-enabled technologies, including web security, js, or django. Database experience would be advantageous.
Assistant Professor, Department of Computer Science
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