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programming in Python, GEE, or R, and working with modern scientific computing and/or AI/ML frameworks. Experience with analyzing large, heterogeneous environmental, geospatial, remote-sensing, or
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background acquired through research, which can be applied to conduct research analyses on on-site energy technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is
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relations) Demonstrated strength in quantitative methods and programming (e.g., Python or R; reproducible workflows; version control) Experience or interest in AI/ML application to ecophysiological
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materials characterization techniques such as Raman and scanning electron microscopy. Data analysis skills using Python, MATLAB, or similar platforms. Excellent written and oral communication skills
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, and evaluating algorithms on physical robots. Proficiency in Python, modern C++, and Linux-based development environments. Preferred Qualifications: Experience with point cloud processing and
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, simulation, prototyping, performance analysis, or experimental evaluation. Strong software development skills using C/C++ and Python programming languages, with experience developing, validating, debugging
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environment. Proficiency in Python and common data science and machine learning libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow) Experience developing and deploying machine
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operations; intelligent transportation systems. Proficiency in Python and experience with at least one additional programming, modeling, or data-analysis environment such as C++, MATLAB or Simulink