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data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms. Assist with organizing large-scale multimodal neuroimaging dataset, brain
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of results, as well as supporting new grant and contract opportunities. The focus of the research is on Multiphysics structural modeling and physics-informed machine learning (PIML) for performance prediction
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generative artificial intelligence, as well as the broader domains of artificial intelligence and machine learning, encompassing their theoretical foundations and applications in healthcare, biomedical
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researcher who complements the interdisciplinary nature of the UTARI research groups. Ideal candidates will have strong records of research in areas such as artificial intelligence, machine learning, data
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optoelectronic devices) while also connecting to application-driven areas of Electrical Engineering, such as Power and Cyber-Physical Systems, Machine Learning, and Intelligent Energy Systems. We particularly
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(#54), AI, machine learning & data mining (#65), software engineering (#71), mobile computing (#18), and computer security (#88). In the last few years students and faculty in the department have
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generative artificial intelligence, as well as the broader domains of artificial intelligence and machine learning, encompassing their theoretical foundations and applications in healthcare, biomedical
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. Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms. Assist with organizing large
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-driven areas of Electrical Engineering, such as Power and Cyber-Physical Systems, Machine Learning, and Intelligent Energy Systems. We particularly welcome candidates whose work bridges the theory and
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off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement