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the University's chosen Learning Management System that is optimized for on-campus and remote students. Work with instructional designer to optimize course materials using Quality Matters standards for online
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, integrity, and optimal integration across diverse data sources. Conduct comprehensive data analyses, including standard statistical methods, advanced predictive modeling, machine learning techniques, and
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level to achieve optimal performance and to ensure the University can grow seamlessly from an IT infrastructure perspective. This is a hybrid position. Incumbent will be required to travel occasionally
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, and LCME/HLC accreditation standards through strategic monitoring and oversight. Oversee the evaluation and revision of internal policies, optimizing operational efficiency while upholding compliance
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partners to optimize outcomes, while educating and counseling patients on risk reduction, healthy behaviors, and other topics that address needs and enhance quality of life. Acts as a lead staff to support
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, enhance service delivery, and ensure long-term-sustainability. Responsibilities include improving administrative processes, optimizing technology platforms, supporting governance structures and aligning
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& Responsibilities Oversee daily operations of the data center, ensuring optimal performance, security, and availability of all systems and infrastructure. Lead the planning, design, and architecture of data center
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updated to include the Preferred Qualifications for the position. A successful HR Data and Technology Analyst I will work to optimize HR software by translating business needs into system configurations
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, scientists and leaders who are life-long learners and inquisitive scholars. We embrace professionalism, innovation and collaboration to optimize health and health care for all. The Phoenix Biomedical Campus
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-world data modeling to stratify risk and optimize MHT formulations. The candidate must thrive in a multidisciplinary, fast-paced research environment and work independently and collaboratively across