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experience through research, internships, and industry-sponsored capstone projects. With a versatile curriculum spanning software, systems design, nanofabrication, and machine learning, the program prepares
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Summary Data entry into research or administrative databases. Career Readiness Competencies: Take initiative to learn new tools, systems, or procedures on the job. Present ideas or updates in a
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Posting Summary Logo Posting Number RTF00211PO26 USC Market Title Research Specialist Link to USC Market Title https://uscjobs.sc.edu/titles/156402 Business Title (Internal Title) Research Assistant
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-augmented generation (RAG) approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data harmonization and integration Record of research
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and meteorological modeling. Experience running or maintaining operational/automated forecast systems. Experience applying machine learning methods to air quality or geophysical data (e.g., forecast
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
– 5:00 pm Work Location CHAPEL HILL, NC Position Location North Carolina, US Hiring Range $47,664 - $52,960 Pay Band Information To learn more about the pay band for this branch and role, please see the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
– 5:00 pm Work Location CHAPEL HILL, NC Position Location North Carolina, US Hiring Range $47,664 - $52,960 Pay Band Information To learn more about the pay band for this branch and role, please see the
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of relevant research experience. Background conducting quantitative research in healthcare. Technical Skills or Knowledge: Proficiency in optimization, statistics, machine learning, econometrics, or AI
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atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible computational workflows, collaborate with
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of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models