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equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be eligible for benefits . This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time
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member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https
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success by integrating communication training with career readiness, academic support, and emerging technologies such as generative artificial intelligence. Minimum Education and Experience Bachelor’s
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). Familiarity with student data tracking systems and learning management systems. Equipment Utilized Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). Zoom / Teams / virtual meeting platforms. Canva
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leadership skills Enterprise-level business operation systems, business intelligence, and data analytics/dashboards Knowledge of higher education budgeting, compliance, and audit standards Knowledge of budget
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Innovation CoLab Posting Number P260200 Posting Link https://www.ubjobs.buffalo.edu/postings/64295 Employer State Bargaining Unit 08 Position Type UUP Professional Professional Appointment Term Term Salary
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 minutes ago
to manage employees. Has excellent Word and Excel skills. Ability to write and execute deviation investigations, CAPA, and complete system audits. Ability to analyze data and information and report to
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 minutes ago
in a cGMP Manufacturing Facility. Two years of previous manufacturing experience is necessary. Has leadership experience and or training in how to manage employees. Has excellent Word and Excel skills
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that highlights and supports the convening of interdisciplinary research using collections, including news stories, project updates, and digital showcases. providing advice and guidance on key issues concerning
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of data collected from smart bricks and smart mortars using machine learning and artificial intelligence techniques for damage identification and classification, detection of failure mechanisms and attained