735 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Texas at Austin in United States
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at The University of Texas at Austin draws on the best insights of diplomatic and military history with the mission to train the next generation of national security leaders. For more information on The Clements
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offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and htt ps://hr.utexas.edu/current/services/my-total-rewards . For more
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renewable on a yearly basis. Duties include teaching lower division undergraduate courses in the following areas: genetics and introductory biology. Candidates must be qualified to teach in both areas
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. Experience with immersive or emerging technologies (XR, VR, AR) applied in research or pedagogical contexts. Familiarity with Computer-Assisted Language Learning (CALL) or game-based learning research
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, such as 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
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) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference
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Description The Department of Radio-Television-Film periodically hires temporary non-tenure-track faculty to teach graduate or undergraduate courses in this specialization (Digital Media and/or Film
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on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . For more information about the College of Liberal Arts, please
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Instructional Technology Services (https://liberalarts.utexas.edu/laits/ ), a unique service department dedicated to creating, maintaining, and promoting technology within the College of Liberal Arts
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model or machine-learning-enabled assets at a company or University). Basic understanding of early-stage technology development. Knowledge of basic principles of intellectual property and licensing