Sort by
Refine Your Search
-
preferred. Practical Experience (years needed and type required): 3 years of general work experience required. 1 to 3 years of security, law enforcement or military experience is preferred. An equivalent
-
standards of best practice, this individual should collaborate with the team in order to deliver high quality simulation learning activities that are delivered across both undergraduate and graduate
-
a direct service to the department to ensure a comfortable, safe and clean environment in which the University community can live, learn and work. Requirements and Qualifications High school diploma
-
Baton/OC Spray. Must have successfully completed the Consortium of Universities Law Enforcement Academy or equivalent training and certification from a civilian or military law enforcement academy. Should
-
community engaged in rethinking civic agency in the age of intelligent machines. Program Overview The fellowship will include: Research: Develop and pursue a research project at the intersection of AI
-
work experience in an event management environment is required. Technical qualifications: Strong computer skills. Familiarity with Event Management Software (EMS) a plus or willingness to learn the EMS
-
working knowledge of Microsoft Office and Adobe. Experience working with high-volume copy machines and postage metering equipment, as well as a variety of post-production finishing devices. Work Mode
-
offsite settings Eager to learn and quickly master new procedures and technology Strong nursing foundation, including phlebotomy, IV placement, and patient assessment Minimum of three years in nursing
-
effectively with faculty, administrators, students, alumni and external constituents Proficiency in basic data management systems and basic computer applications (e.g., Word, Excel, Access, PowerPoint
-
are not limited to: Data-centric AI and ML Large-scale data analytics and intelligent data systems Responsible and trustworthy AI Applied machine learning and multimodal AI Data engineering, MLOps, and