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tester, pool vacuum, power washer, and water/chemical test kits. Some positions may require knowledge of chemical usage and their interactions, danger signs, production techniques and disposal methods
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cultural competency Ability to build strong partnerships with students and other university departments Preferred Knowledge and use of Maxient or other case management software Knowledge of IU Indianapolis
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. The successful candidate will also demonstrate success working with diverse faculty and student populations and will have experience with a variety of teaching methods and curricular perspectives, as well as a
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. Regularly monitors relevant social media and news sites; researches relevant subject matter to increase knowledge in area(s) of specialty. Utilizes various communications software programs and delivers
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Duties and Responsibilities: Teach small and large group courses. Communicate subject matter clearly, correctly, and effectively. Use methods, materials, and technology appropriate to the subject matter
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procedures for all equipment, materials, cleaning methods, and care and maintenance of such equipment Knowledge of tools and equipment used in the moving of very large and heavy items Ability to operate all
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software programs and creative platforms to create and deliver content and marketing materials in multiple formats to a variety of audiences. May provide guidance to lower-level Marketing Generalists; may
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developing and overseeing an academic vocal program for undergraduate and graduate students Experience with a variety of teaching methods and curricular perspectives to serve diverse student populations
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of Philosophy (PhD), nursing major preferred; If PhD is not in nursing a master’s degree in nursing required. Eligible for appointment as a tenured full professor. Teaching experience in higher education programs
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to develop a national or international presence in their field. The candidate is familiar with quantitative, qualitative, or mixed-methods research techniques. Assisting in School/Division Level data planning