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for creating an energy systems modeling tool that models energy resources, technologies, and loads for specific applications. The postdoctoral associate will conduct research to assess the impacts of different
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optimization problems. • Design, coding and implementation of optimization models and algorithms in Python or C++. Familiarity with AMPL and/or Matlab is a plus. • Preparation, presentation, and publication
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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 show potential to excel in tasks related to meta
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different disciplines or institutions will be given preference. Applicants must have fulfilled their Ph.D. degree requirements, possibly excluding the final submission of their dissertation, prior to joining
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interpret data, will publish results, will represent the university at conferences and meetings, and may develop new theories and methodologies. Extensive professional experience using R, Python or similar
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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 successful candidates should show