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Information Systems, Cybersecurity, and Data Analytics. Adjuncts may teach courses across these programs. Our greatest needs are typically in foundational courses such as introductory programming, data
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Description The Chandra Family Department of Electrical and Computer Engineering at The University of Texas Austin has multiple faculty openings with a start date of Fall 2027 for tenure-track and
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machine learning, robotics, embedded and cyber-physical systems, communications and networking, signal processing, semiconductor and VLSI design, quantum computing, and emerging hardware technologies
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Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system
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the following areas: Machine Learning and Edge AI, Heterogeneous Computing, Networking and IoT, Quantum Computing. We are seeking an individual who has the ability and interest in contributing to a
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data. This position provides excellent opportunities to gain research experience in machine learning, medical image analysis, multimodal foundation models, and clinical AI while working in a highly
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: Artificial Intelligence: Teaching and curriculum development in areas such as artificial intelligence, machine learning, generative AI, agentic AI, responsible AI/ethics, programming and foundations for AI, AI
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expertise in: •Clinical decision support and electronic health record data science •Machine learning and AI in health care, including design, evaluation, bias, and safety •Health data interoperability and
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at the rank of Assistant Professor in the Computer Network System Management (CNSM) Concentration. The incumbent will be required to teach undergraduate and graduate level courses primarily related to software
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, machine learning, and statistical methods for time-series forecasting in the electricity sector, including demand, renewable generation, and market prices. Development and evaluation of point and