95 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" 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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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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qualified medical professional. Efficient and accurate computer and data entry skills; excellent communication, public relations, and customer service and telephone etiquette skills. Willingness to learn and
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. Proficiency in the use of standard computer application software. Efficient and accurate computer and data entry skills. Ability to multi-task in a fast-paced work environment. Desire to exemplify the core
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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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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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and Knowledge: Experience in computational catalysis and surface science. Preferred Qualifications: Knowledge of kinetic modeling and/or machine learning interatomic potentials. Background Investigation