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About the Opportunity Responsibilities: Teach selected undergraduate or graduate courses in the day and evening programs in the Department of Electrical and Computer Engineering. Course topics might
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similar to Aims students. Ability to teach using methodologies that support a student-centered learning environment. Computer literacy and the ability to use computer technology in classroom/lab instruction
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• Plan and deliver orientation and ongoing program sessions • Facilitate peer learning and discussion among participants • Update and adapt program materials and resources • Communicate relevant
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https
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broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career
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programming background Experience in computer vision projects Experience in software or webapp development/API integration Interest (but not necessarily expertise) in medicine and radiotherapy Required
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contributions; competitive health, dental, and vision coverage; tuition benefits for classes at UK, and much more. To learn more about these benefits, please visit: https://hr.uky.edu/employment/our-benefits