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interdisciplinary research in the life sciences. We are interested in candidates whose research areas broadly relate to theory or applications of statistics/data science and computational mathematics. An ideal
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research relationships and collaboration amongst faculty. Develops, delivers, and maintains a comprehensive educational training curriculum incorporating adult learning theories and principles to support
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sciences. We are interested in candidates whose research areas broadly relate to theory or applications of statistics/data science and computational mathematics. An ideal candidate should have a background
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learning, safety, well-being and engagement by applying theories and learning outcomes that promote students' academic and personal success, thereby increasing student progression, retention and timely
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/hybrid/remote higher education settings. Deep understanding of quality standards in online education. Knowledge of instructional design theories and frameworks. High proficiency in using Canvas LMS. Strong
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-paced, frequently changing environment. They support excellence in course development by becoming familiar with adult learning theory, instructional design theories, and effective assessment practices