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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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of precipitation and surface water metrics. The project will involve both reviewing and writing up potential metrics and working with large datasets to conduct both spatial and temporal analysis
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sensors. Ability to collect, process, and analyze complex environmental datasets. Proficiency with scientific programming and data analysis software. Ability to prepare technical reports, manuscripts, and
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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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position. This project will focus on geospatial analysis to identify data and research monitoring gaps in the Northern Gulf of America, as a first step toward developing a Northern Gulf of America Coastal
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data analysis. The candidate should have: a) Superlative ability to articulate research objectives and hypotheses, and ability to work as part of a team. b) Excellent analytical ability and in-depth