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factories and warehouses with autonomous components. It addresses a fundamental challenge in industrial digitalization: the lack of formal, machine-interpretable representations that integrate structural
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an electronic health record system (EHR); UHC is a paper-free health care facility Ability to use multiple software programs, primarily Microsoft Office (including Outlook), and the internet Preferred: Autonomous
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
). Excellent verbal and written communication, organizational, and time management skills. Ability to work autonomously as well as collaboratively as part of a team. Publication record, including as first author
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to detail and autonomous worker. Capacity to use and navigate digital applications (e.g., iPads). Current driver’s license and/or reliable transportation. Preferred Qualifications: Bachelor's degree with
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or advising online and/or non-traditional students. ● At least one year of experience autonomously supervising, managing, and directing the work of others. ● At least one year of experience with PeopleSoft
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adhering to University policies and procedures as well as federal, state and local regulations. #CA-LA Autonomous nursing care is the ability of a nurse to assess and provide nursing actions as appropriate
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operating environment, ensuring legal advice is objective, independent, and clearly informs good decision-making. Excellent interpersonal and time management skills. Demonstrated ability to work autonomously
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Administrative Nurse III (RRT Nurse) - Critical Care Outreach Team (100% Full-Time, Flex Day/Nights)
Peoria, Quad Cities, Rockford, Springfield, and Urbana. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be
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, Quad Cities, Rockford, Springfield, and Urbana. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be eligible
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/10.1016/j.xcrp.2022.101112 and https://doi.org/10.1080/08940886.2022.2114716 key words synchrotron radiation; X-ray Absorption Spectroscopy, machine learning, artificial analysis, autonomous experimentation