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: Introduction to Computing with Python BIOE 104: Biotransport Phenomena ENGR: 080: Stat Model Data Analysis Other courses as needed See catalog for course descriptions A Learning Assistant works with groups
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for the below courses for Summer 2026: BIOE 002: Fund Molecular Biology BIOE 021: Introduction to Computing with Python BIOE 104: Biotransport Phenomena ENGR: 080: Stat Model Data Analysis Other courses as needed
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circumstances. Is comfortable using digital learning tools and platforms such as Python, VS Code and Tableau. Holds, or will soon complete a doctorate in Engineering, Physics, Computer Science, Mathematics or a
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using digital learning tools such as R, Python, Stata or Matlab, and has strong data skills. Holds, or will soon complete, a doctorate in a relevant discipline. Desirable qualities include experience
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to changing needs. Is confident using digital learning tools and programming languages such as R, Python and C++. Holds, or will soon complete, a doctorate in a relevant discipline aligned with Data Science
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programming (e.g. Julia/JuMP, Python/Pyomo, AMPL, MATLAB, GAMS). What you will do Take courses at an advanced level within the Graduate school of Energy, Environment and Systems Develop your own scientific
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omics approaches or epigenetics, advanced coding skills in R or Python, and prior supervisory experience with students or research staff. For consideration, applicants need to submit a cover letter
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Enhance Software: Implement small code changes, features, or bug fixes to internal tools, backend services, and automation scripts. Assist with building and modifying Python-based logic for data processing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
combination of education and/or experience. Preferred Qualifications, Competencies, and Experience - Demonstrated professional experience in software engineering and web development, including Python, SQL
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using Python, R, and/or SQL. You understand the interconnected nature of admissions, student, HR, research, and finance data, and can apply advanced statistical and predictive modeling techniques