95 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at The University of Alabama
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: The College Experiential Learning Coordinator organizes and oversees experiential learning opportunities (co-curricular learning experiences, corporate-sponsored projects, service learning, select
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) for the Learning Commons Supplemental Instruction Program (SI) oversees SI operations for the Learning Commons or at satellite location(s). Manages student employees and data, and maintains visit records. Assists
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and thus are strongly encouraged to apply. Detailed Position Information The Department of Electrical and Computer Engineering (ECE: https://ece.eng.ua.edu/ ) and the College of Engineering (CoE: https
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are strongly encouraged to apply. Detailed Position Information The Department of Electrical and Computer Engineering (ECE: https://ece.eng.ua.edu/ ) and the College of Engineering (CoE: https://eng.ua.edu
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and thus are strongly encouraged to apply. Detailed Position Information The Department of Electrical and Computer Engineering (ECE: https://ece.eng.ua.edu/ ) and the College of Engineering (CoE: https
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. Detailed Position Information The Department of Electrical and Computer Engineering (ECE: https://ece.eng.ua.edu/) and the College of Engineering (CoE: https://eng.ua.edu/) at The University of Alabama (UA
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, or autonomous charging systems. Experience in machine learning based advanced control systems. Familiarity with PLCs, industrial networks, ROS/ROS2, simulation tools, or hardware-in-the-loop testing. Experience
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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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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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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