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Field
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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houses UTEP's Master of Science in Software Engineering program. The department hosts a vibrant neuroscience research community, with an active program in mesoscale chemoarchitectural mapping of the rat
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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neural networks (GNNs), transformer architectures, foundation models, and large language models (LLMs). Experience developing reproducible biomedical software and AI workflows. Demonstrated success
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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of our work have included novel approaches to analyzing network traffic, exploit development, and software implementation of novel file and format extraction techniques. Knowledge, Skills, and Abilities
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articulate this process in discussions, presentations, and formal reports. Recent examples of our work have included novel approaches to analyzing network traffic, exploit development, and software