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Job Title Assistant Professor Tenure-Track - Artificial Intelligence and Machine Learning Agency Tarleton State University Department Computer Science and Electrical Engineering Proposed Minimum
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to teach one or more of the courses in programming, data communications, computer networking, database management, cybersecurity, and other related areas in computer information systems or Computer Science
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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enrollment in the Teacher Retirement System of Texas. 12-15 paid holidays per year. Paid vacation and sick leave. Wellness programs and release time. Access to online learning platforms. Educational
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the following areas (though not limited to these): AI and Machine Learning Cybersecurity and Privacy Robotics and Autonomous Systems Cloud Computing and Edge Computing The Department of Computer Science prepares
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areas, including but not limited to Software Engineering, Cybersecurity, Data Science, Artificial Intelligence, Machine Learning, Computer Vision, Mainframe Computing, and more. Candidates with a strong
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preferred. - Significant experience in the implementation of Artificial Intelligence/Machine Learning for mission critical applications. Other Requirements: This is a security-sensitive position and is
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Preferred Qualifications: Knowledge of student development in higher education Strong computer skills and familiarity with undergraduate curriculum TAMU academic advising experience Ability to lead students
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. The university advances knowledge through research and discovery, teaching and learning, community engagement and public service, and with an intentional focus on student success and research excellence
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of the University. A&M-San Antonio proudly boasts its designation as a Hispanic-Serving Institution and Military Embracing™ university. Currently enrolling approximately 8,000 students, Texas A&M University-San