Part Time - Student (Undergraduate) - OVPCC Tract 2 REU Research Assistant

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About this role

Join an innovative research team exploring the effectiveness of Large Language Model (LLM) ensembles versus individual models for thematic deductive analysis of text—a critical qualitative research method widely used in social sciences, education, and business research. This project aims to advance AI applications in qualitative research while providing hands-on experience in machine learning, natural language processing (NLP), and research methodology.

Requirements and Qualifications

Candidates should have:

Currently enrolled as an undergraduate student in Information Sciences & Technology, Computer Science, or a related field.
Basic understanding of Python programming.
Familiarity with natural language processing concepts is a plus.
Strong analytical and problem-solving skills.
Ability to work independently and collaboratively.