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extensive experience of python programming, deep neural network analysis, and large language models. Ability to work independently and generate innovative, out-of-the-box research ideas. Ability to work
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in climate change science. Demonstrable knowledge in a programming language or languages often applied to environmental datasets; examples could include R, Python, MATLAB, or other GIScience. Strong
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and Knowledge: Strong interest in (or be already skilled in) the development, application, and testing of hydrologic models. Comfortable with working in the python programming language. Knowledge and
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programming expertise in at least one of the C++, C# and Python languages. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background