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functionality (e.g., complex logic, branching, customization). Familiarity with advanced data management tools, including executing Python programs. Experience managing or supporting instructional technology
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combination of education and experience. Proficiency in using Python, AI APIs (OpenAI, Anthropic, Gemini, etc.), machine learning algorithms, and software development frameworks. Familiarity with building
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programming and scripting, relational databases (SQL), web services (SOAP/REST), and data formats such as JSON and XML is essential. Experience with languages such as Python, Java, JavaScript, and procedural
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functionality (e.g., complex logic, branching, customization). Familiarity with advanced data management tools, including executing Python programs. Experience managing or supporting instructional technology
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environmental impacts (e.g., greenhouse gas emissions and impacts to air and water quality). Interest in spatially explicit environmental impact assessments at regional and local scales. Proficiency in R, Python
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studies. Strong background in AI/ML fundamentals and extensive experience with deep learning (DL) methods. Demonstrated proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit
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– 10% Requirements Ph.D. in Atmospheric Sciences, Climate Science, or related field. Proficiency in scientific programming (Python, R, MATLAB, or equivalent) is required. Experience with atmospheric
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transformations using an ETL product such as: Informatica, Data Stage, WhereScape, Talend, etc. Experience with a database procedural language Experience with Python Understanding of dimensional data modeling
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experience with deep learning (DL) methods. Demonstrated proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit-learn) applied to genomic/related datasets. Experience with sequence
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programming language (e.g. Julia, Python, etc.) required; Experience with numerical models (preferably integrated assessment and/or power systems models) required; Familiarity with data assimilation and/or