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Proficiency in tools like Python, SQL, data visualization platforms (e.g., Tableau, Power BI), and CRM systems. Proven experience in designing and maintaining data warehouses; managing data pipelines is a plus
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Qualifications: Experience with open-source software development, especially in Python. Experience in outreach to schools and community groups. To Apply: For initial screening, please include the following
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under uncertainty, programming in Python, Julia, and/or MATLAB, and excellent quantitative skills, including probability and data analysis. Anticipated Division of Time Research (80%) Publication
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climatological datasets, or the equivalent combination of education and experience. Experience in Microsoft Office Suite (Excel, Word, and PowerPoint). Proficiency in Python or other data analysis software
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learning to climate science problems Advanced proficiency in Python and major ML frameworks (TensorFlow, Keras, Scikit-learn). Experience with high-performance computing and large climate datasets. Track
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, academia, or industry). Experience in applying machine learning to climate science problems Advanced proficiency in Python and major ML frameworks (TensorFlow, Keras, Scikit-learn). Experience with high
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and LLMs such as GPT, Claude, or Gemini and demonstrated experience with Python. Excellent with follow-up and follow-through, ability to work independently, and make decisions with minimal supervision
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of decarbonization policy pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems under uncertainty, programming in Python, Julia, and/or MATLAB, and