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technologies like Hadoop, Spark, or similar is a plus. Experience in machine learning or AI solutions in the context of BI is beneficial. Excellent understanding of higher education and the key performance
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to teach day, evening, weekend, online, blended, or off-campus courses. Utah Valley University places a strong emphasis on teaching. Faculty members are expected to develop a learning environment and
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Qualifications • Experience with Excel, Outlook, Word, Teams, and other computer software programs. • Previous experience working in an office setting. • Familiar with available student resources on campus
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with experience in applied artificial intelligence, machine learning (supervised, unsupervised, and deep learning), generative and agentic AI, and other closely related subjects. The Information Systems
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to easily learn new computer programs. EEO Statement: UVU employment decisions are made on the basis of an applicant’s qualifications and ability to perform the job without regard to race, color, religion
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Computer skills (Internet, Windows, Excel, Word, PowerPoint, etc.) Good work ethic/self-motivated Ability to be a team player Ability to interact and communicate in person and on the phone with college
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skills and attention to detail for sample tracking and record-keeping Willingness to learn new laboratory techniques and molecular sample preparation methods Ability to work independently and as part of a
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are expected to develop a learning environment and activities that help students achieve their learning objectives. UVU encourages applicants with a wide range of backgrounds, experiences, and expertise to apply
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, assignments, and exams. Instruct, manage, and supervise students in classrooms, studios, and/or computer labs using effective and appropriate teaching methods. Evaluate student learning through appropriate
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Position Announcement Utah Valley University is looking to hire Adjunct Instructor(s) to teach upper and lower division classes in Architecture and Engineering Design. Our adjunct assignments