3 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at University of Alabama, Tuscaloosa
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at least one programming language. Preferred Qualifications: Experience with numerical modeling and/or data analytics with big data. Broad knowledge of hydrology. Experience in ML applications. Background
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programming/scripting capabilities. Skills in data science, artificial intelligence, large language models, and high-performance computing. Strong written and verbal communication skills regarding research
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this position is contingent upon availability of external funding derived from research programs or specific projects. Required Department Minimum Qualifications: Ph.D. in environmental science, hydrology
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