683 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Texas at Austin
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will be expected to create undergraduate and graduate learning environments that address the needs of students from a variety of backgrounds, with differing learning styles and abilities, develop
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the faculty and staff of UT Austin about how to support students in their career development and provide support that facilitates and enables student learning experiences. This role will also provide
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Description The Department of American Studies seeks to develop a pool of candidates for possible temporary/nontenured positions to teach Urban Studies undergraduate courses. Positions are not
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Robotics, engineering, Computer Science, math or other applied sciences. Demonstrated ability related to the development and application of robotics, autonomy or machine learning algorithms. Demonstrated
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beginning in August 2026. The successful candidate will teach and mentor graduate students in the department’s aligned master’s program in Sport Management and our doctoral program in Physical Culture and
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for is no longer accepting applications or may have closed. Please visit our careers page for current opportunities. UT Austin Home Learn more about UT Contact us Phone 512-475-4363 Fax 512-475-7385 Email
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trackers, automated target classifiers, applications for machine learning and other algorithms as needed. Preparation and review of analysis presentations and technical reports. Presentation of analysis
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and learn. Responsibilities: As a faculty member,Master Teachers are responsible for modeling best practices in child development, early childhood education, and positive guidance for observers and
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weekend and evening work to support instructors and course implementation, including during summer, spring, and fall professional learning institutes and enrollment deadlines. Purpose This position meets
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oversees and guides translation of collaborative research into accessible, actionable products and in supporting reflective practice and learning across the LONESTARP3network. This position emphasizes