93 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Texas at Dallas
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with expertise or teaching experience in computer engineering or digital systems are especially encouraged to apply. Job duties: Demonstrate a commitment to teaching excellence. Prepare and teach
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professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more
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Posting Details Posting Details Posting Number F01076P Position Title Open Rank Faculty Positions in Electrical and Computer Engineering Functional Title Open Rank Faculty Positions in Electrical
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Posting Details Posting Details Posting Number F01038P Position Title Part-Time Lecturer in Computer Sciences Functional Title Part-Time Lecturer in Computer Sciences Department Computer Science
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Posting Details Posting Details Posting Number F01001P Position Title Part-time Lecturer - Electrical and Computer Engineering Functional Title Part-time Lecturer - Electrical and Computer
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Assistant Professor of Instruction to teach at the undergraduate and graduate levels in our large and growing Neuroscience programs. We are seeking instructors with expertise in cellular, molecular, and
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their home academic department in ECS. Teaching responsibilities will focus on first year courses in the program with the opportunity to teach in the candidate’s specialization area within the home department
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awards including the Academy Awards, BAFTA’s, Annie Awards, Esports Game of the Year, and others. Our state-of-the-art labs give students and faculty the opportunity to learn and engage in research across
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learning, and teaching and assessment methods, and how their teaching practices will engage students from a range of backgrounds and experiences. · Research statement describing past, present, and
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Dallas that leverages and extends existing University expertise in systems and cognitive neuroscience, neural device development, and machine learning. The ideal candidate would conduct highly