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mixed-integer, convex, and stochastic optimization problems. • Design, coding and implementation of optimization models and algorithms in Python or C++. Familiarity with AMPL and/or Matlab is a plus
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represent the university at conferences and meetings, and may develop new theories and methodologies. Extensive experience using R, Python or similar tools are a key requirement for the position, and
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experience using R, Python or similar tools are a key requirement for the position, and successful candidates should show potential to excel in tasks related to behavioral social science research. This
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methodologies. Extensive professional experience using statistical software (e.g., R and Python) and AI tools (e.g., Claude Code) are a key requirement for the position. Successful candidates should
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chemistry Experience analyzing chemical or molecular datasets Proficiency with scientific computing and data analysis, preferably Python. Relevant experience may include electronic-structure