17 machine-learning "https:" "https:" "https:" "https:" "U.S" positions at University of Central Florida
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, innovative population of faculty and students carrying out theoretical and applied research in mathematics, statistics, data science, actuarial science, and artificial intelligence / machine learning
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. The Statistical and Data Sciences program in SDMSS is dedicated to high-caliber research at the intersection of statistics, machine learning, data mining, computer science, and applied mathematics and to developing
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include but are not limited to: Introductory or upper-level physics labs; Application of cutting-edge technology such as generative artificial intelligence and machine learning in STEM Education Research
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specialize in areas such as Analysis, Applied and Computational Mathematics, Machine Learning, Partial Differential Equations, and Probability and Statistics. SDMSS currently offers the following programs in
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World Report, Princeton Review, and others. For more information, please visit https://sciences.ucf.edu . UCF, named one of the most innovative public universities in the nation by U.S. News & World
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The Opportunity The Department of Electrical and Computer Engineering (ECE) at the University of Central Florida (UCF) invites applications for full-time, 9-month tenure-earning assistant professor
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, data parsing, and enrichment. Knowledge of emerging AI-driven attack vectors, including prompt injection, adversarial machine learning techniques, data poisoning, and model extraction attacks. Experience
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tenured and tenure-track faculty are engaged in world-class research in Computer Vision, AI and Machine Learning, Virtual Reality, Bioinformatics, Software Engineering, Cyber Security and Privacy, Computer
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initiatives is highly desirable. Experience with computational tools (e.g., CFD, FEA, system-level modeling) and/or experimental platforms for energy systems is expected. Position # 2 - Machine Learning and AI
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, PowerShell, Bash) for automation, custom detections, data parsing, and enrichment. Knowledge of emerging AI-driven attack vectors, including prompt injection, adversarial machine learning techniques, data