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completed by the start of employment. Skills and Knowledge: Knowledge and understanding of water data; managing and analyzing large, multi-dimensional datasets; spatial and temporal statistics. Knowledgeable
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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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(EHR) data, large data sets, or geospatial analysis. A record of submitting external funding applications (e.g., F31, T32, foundation grants). Background Investigation Statement: Prior to hiring
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experience in at least three of the following: developing watershed model input datasets, geospatial analysis, applying large-scale hydrologic models, artificial intelligence and machine learning, computer
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experience with at least one programming language. Preferred Qualifications: Experience with numerical modeling and/or data analytics with big data. Broad knowledge of hydrology. Background Investigation