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Artificial intelligence (AI) and machine learning (ML) methods in healthcare. The successful candidate will be expected to develop a sustainable independent research portfolio, teach in the PharmD and graduate
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computer science including AI, machine learning, computer vision, graphics and visualization, systems, distributed algorithms, and scientific and biomedical computing. Research in the department is and has been
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and applied computer science with cross-cutting applications related to AI, machine learning, cybersecurity, high-performance computing, data science, natural language processing, graphics
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. Qualifications The successful candidate must have a MFA for studio art or a related field to teach art and design classes, a PhD in Art History to teach art history classes, and an MFA or PhD in Studio Art
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field for teaching at the Undergraduate level, or a PhD in either Computer Science, Computer Information Systems or Data Science for teaching at the graduate level. Additional Information: Lecturer
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Engineering or Computer Engineering. -Ideal candidates will have a Master's degree (for undergraduate courses) or PhD in a design-related field (for graduate level courses), with an exemplary record
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medical knowledge and pedagogical advancements. Facilitate Learner-Centered Experiences: Design and implement educational experiences that prioritize active learning, critical thinking, and problem-solving
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Computer Engineering, at the graduate or undergraduate level. Ideal candidates will hold a Master's degree (for undergraduate level courses) or PhD in a design-related field (for graduate level courses
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position focused on teaching graduate-level courses in data sciences, artificial intelligence and machine learning as part of the Master’s and Certificate program in Engineering Data Science offered by
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prior training in empirical research methods and machine learning, particularly in areas such as recommendation systems, algorithmic bias, and sustainability. While a record of published papers is