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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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familiarity with health-related datasets. Additional Qualifications: Proficiency in statistical software (R, Python, etc.), and working knowledge of data management protocols. Experience with exposome
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Ph.D. degree and a documented background in molecular biology and biochemistry. Experience in performing and analysing molecular dynamics simulations. Proficiency in Python or comparable programming
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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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the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
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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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personal style willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming
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. The PhD will employ a combination of simulation and experimental validation. First, use and develop existing coronagraphic simulation tools in python to develop innovative algorithms, then conduct tests
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
combination of education and/or experience. Preferred Qualifications, Competencies, and Experience - Demonstrated professional experience in software engineering and web development, including Python, SQL