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biology, immunology, and cancer therapeutics. We are particularly interested in candidates who interface with data analytics, artificial intelligence, and use of large datasets to inform our understanding
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and ability to work effectively in interdisciplinary teams Ability to manage complex research projects and mentor students Preferred Qualifications Experience with artificial intelligence (AI) and
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in this position will conduct/lead applied as well as fundamental research in physics-informed Artificial Intelligence (AI) and Machine Learning (ML) methodologies enabling digital twin functionalities
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algorithms, web applications, cybersecurity, and topics related to artificial intelligence, computer systems, and UI/UX. We have opportunities to teach classes dedicated to CS majors as well as classes
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leadership in research, development and implementation of artificial intelligence (AI) capabilities to accelerate Materials research, utilizing strengths in the core facilities of the Texas Materials
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well as teaching new undergraduate data analytics/AI courses at UT Austin. We are committed to strengthening our leadership in research, development and implementation of artificial intelligence (AI) capabilities
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for Generative AI, the individual will, with independence commensurate with experience, perform research within the Center for Generative Artificial Intelligence and its parent organization, the Machine Learning
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will also have opportunities to contribute to other areas of research interest to ASI, including alternative voting systems that can reduce political polarization, and the potential impact of Artificial
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technology, automation and artificial intelligence strategy that facilities and enables and enhances patient care while reducing cognitive burden of clinicians Assuring exceptional patient experience
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assistant professors only: Core software engineering, including but not limited to adjacent topics such as mobile/IoT/cloud computing, secruity/privacy, HCI/ubicomp. Core as well as Applied Artificial