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educational experience provided to their students, and thus faculty candidates must demonstrate an ability to develop and teach classes at both the undergraduate and graduate level in the faculty member’s area
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Materials Engineering also pride themselves on the outstanding educational experience provided to their students, and thus faculty candidates must demonstrate an ability to develop and teach classes at both
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to their students, and thus faculty candidates must demonstrate an ability to develop and teach classes at both the undergraduate and graduate level in the faculty member’s area(s) of expertise as well as to teach
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an ability to develop and teach classes at both the undergraduate and graduate level in the faculty member’s area(s) of expertise as well as to teach courses that support the delivery and accreditation
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special projects, and ensures alignment with institutional goals and accreditation standards. Provides technical and applications support for all computer-related functions in the School. Required Minimum
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Social Responsibility in STEM ● Human-Computer Interaction ● Predictive Analytics and Data Science ● Environmental/Health/Risk/Science Communication Applicants must display an ability to be an active and
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, Impact, and Social Responsibility in STEM ● Human-Computer Interaction ● Predictive Analytics and Data Science ● Environmental/Health/Risk/Science Communication Applicants must display an ability to be
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. Additional Required Department Minimum Qualifications: Current CPR certification. Experience with an electronic health record system in a previous learning or employed role. Final candidates must submit to and
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instructions. Ability to use independent judgment in completing assigned projects. Ability to analyze and solve complex problems. Ability to understand and operate computer software programs. Must have good
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(AI) and its application across nursing and healthcare environments. The ideal candidate will possess cross-disciplinary fluency in AI technologies—including machine learning, data science, big data