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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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). Proficiency in at least one statistical software package (Stata, R, or Python). Specific Requirements We are seeking outstanding candidates with a strong interest in development economics. Application
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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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with industrial communication protocols (e.g., OPC UA, Modbus, Profibus, EtherCAT) Experience with programming and scripting languages (ideally Python, C/C++, or similar) for system integration and
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to empower independent decision-making Administer applications Provide high level reporting to departments across the university Other duties as assigned Unit URL https://www.uidaho.edu/financial-aid Position
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Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including presentation skills. Good organizational skills
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with faculty to design, develop, and maintain reproducible data workflows using R, Python, and SQL to build software for experiments and applied research projects. Integrate and manage data from multiple
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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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learning • Programming skills (e.g., Python, R) • Interest in interdisciplinary research at the intersection of data analysis and learning sciences • Interest in education and learning as an