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Enrollment in an undergraduate or graduate program in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. Strong interest in experimental methods, numerical modeling
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summarizing research methods, results, and project progress. Dissemination of Results: Support the development of research posters and presentations, with opportunities to present findings at national
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pipeline that expands an existing botanical lexicon by combining Dr. Maya-Lastra’s parser software, which integrates NLP and heuristic methods, with locally run large language models. The student will
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-on research experience in botanical data curation and computational methods. Training in plant morphology, data standards, and how structured data supports machine learning. Opportunity to co-author
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in natural language processing, LLMs, or information extraction. Familiarity with XAI , cybersecurity, privacy-preserving methods, or distributed systems. Experience with cloud platforms, real-time
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related University and departmental procedures. Propose/initiate procedures and evaluate existing procedures to effect improved or additional methods for handling or reporting information. Extensive