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medical imaging and theranostics. Expertise in fundamental and applied machine learning and artificial intelligence for advancing clinical medicine is of particular interest. About TITAN: The Texas
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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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School at the University of Texas at Austin seeks a faculty candidate at the rank of Associate Professor or Professor to lead academic growth at the intersection of artificial intelligence and
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developments and responsible AI practices. Represent AI Studio at campus events, conferences, and industry panels. Required Qualifications Bachelor’s degree in Artificial Intelligence, Computer Science
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using artificial intelligence and other advanced technologies for communication purposes Proven expertise in digital and video content creation and distribution Strong leadership and team management
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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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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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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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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