250 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at The University of Alabama
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-time staff member. The assistant supports one of the following units within Athletic Student Services: Advising, Tutorial Support or Learning Support. Additional Department Summary: May monitor and
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techniques. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Background Investigation
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of Alabama and beyond. The successful candidate will apply tools including (but not limited to) Data Acquisitions, Data Mining, Data Visualization, Machine Learning, Statistics, Optimization and Simulation in
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marketing, public relations, communications, or advertising experience. Additional Required Department Minimum Qualifications: Must have valid U.S. driver's license. Must be at least 19 years of age at time
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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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diploma or GED and six (6) years of construction, engineering, and/or project management experience. Additional Required Department Minimum Qualifications: Must have valid U.S. driver's license. Must be
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, distribution, or grid integration. Additional Required Department Minimum Qualifications: Must have valid U.S. driver's license. Must be at least 19 years of age at time of hire and have an acceptable Motor
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: Must have valid U.S. driver's license. Must be at least 19 years of age at time of hire and have an acceptable Motor Vehicle Report that is in compliance with University policies. Applicants under
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Qualifications: Applicants who meet UA driving requirements are are preferred. Must have valid U.S. driver's license. Must be at least 19 years of age at time of hire and have an acceptable Motor Vehicle Report
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: Due to requirements of the funding source, must be a U.S. Citizen or U.S. Permanent Resident. Skills and Knowledge: Experience with and a solid foundation in technical problem-solving and process