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interest in contributing to both the conceptual and empirical dimensions of research Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the
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related field; Strong publication record in relevant venues; Solid programming skills in Python and a modern deep-learning framework Excellent communication skills in spoken and written English; Self
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inference methods (e.g., fixed effects, IV, DiD) Advanced regression techniques - Strong programming and analytical skills (R, Stata, Python, Mplus, or similar). - Evidence of research productivity or strong
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related area. Demonstrated research experience with large language models, generative AI, agentic AI, or related foundation model technologies. Strong programming skills in Python and experience with modern
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Strong programming skills (e.g., C/C++, Python, MATLAB) and familiarity with scientific software development best practices. Evidence of scholarly productivity and effective collaboration in
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fluorescent imaging is helpful. Being proficient in Python, R, and/or command line applications is encouraged. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work
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, or livestock waste systems. Experience with data analysis, modeling (e. g., ammonia emissions or air quality models), and statistical software (R, SAS, Python, etc.). Demonstrated ability to conduct independent
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Required Working knowledge of at least one programming language, such as C++, Python, etc.; Working knowledge of Dynamic Traffic Assignment (DTA) and large-scale network simulation Have a good understanding
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. Programming experience (Python, MATLAB, Julia, or similar). Preferred Qualifications Experience with time-lapse electrical resistivity tomography (ERT) inversion techniques. Experience in hydrogeophysics
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in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while