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complex real-world data, and translate analytical outcomes into high-impact methodological and applied manuscripts for tier-1 peer-reviewed journals. Furthermore, the scholar will contribute to the broader
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University of South Carolina’s School of Earth, Ocean and Environment and contribute to innovative computational research addressing important questions in ocean, coastal, and climate science. The successful
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and high-performance computing resources. Essential Function Yes Percentage of Time 35 Job Duty Develop and apply machine learning methods for computational soft materials research. Build and evaluate
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and high-performance computing resources. Essential Function Yes Percentage of Time 35 Job Duty Develop and apply machine learning methods for computational soft materials research. Build and evaluate
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Fellow Campus Columbia Work County Richland College/Division College of Engineering and Computing Department CEC Electrical Engineering Anticipated Hiring Range $52,526 - to commensurate with