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involving T cell transduction, CAR constructs, or gene editing tools. Prior experience with animal models of cancer or immune response. Willingness to learn and adapt to rapidly evolving experimental needs
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systems specifications. Follow applicable trade specific codes, standards and regulations. Learn technical skills and apply new knowledge to solve problems. Select and use hand, power and machine tools
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of Engineering. The appointment will be in the following department: Engineering Education. • Teach 21 credit hours per year of undergraduate courses in both Fundamentals of Engineering (which serves all College
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than 30hrs a week) to teach undergraduate and/or graduate course(s) in the Department of Materials Science and Engineering for Fall/Spring/Summer semester. Hours will vary, pending course(s) available
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position. Performance Objectives The successful candidate will teach the following course: History 3282 - History of the Soviet Union The candidate will hold office hours, and submit grades during the autumn
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associated faculty position. Performance Objectives The successful candidate will teach the following course: History 2703: History of Public Health, Medicine, and Disease Candidate will also provide
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, sensor networks, robotics, and machine learning applied to the integration of computational algorithms and physical processes; Foundational aspects and methods in Machine Learning; Applications of machine
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, Automation Anywhere). Deep understanding of AI/ML fundamentals, including supervised/unsupervised learning, NLP, computer vision, and generative models. Familiarity with tools and frameworks like TensorFlow
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Provide instructional support in pre-clinical and laboratory sessions. Evaluate student work according to established rubrics. Foster a positive and interactive learning environment that promotes student
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. Jianyang Gu. This position works closely with the Imageomics team to assist with the collecting, generating, and cleaning data for advancing the Imageomics team’s computer vision and deep learning algorithms