900 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" positions at University of Arkansas
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Ability to research, compile data, and analyze related work program information Ability to establish and maintain filing systems Ability to analyze documents for compliance with rules, regulations, and
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patients from internal or external provider referrals. Qualifications: Minimum Qualifications: High School, GED or formal educational equivalent. Graduate of accredited LPN nursing program Preferred
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. Assist in documenting events such as the Summer Arts program. Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious
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: Responsibilities: Ensures quality of individualized developmental services provided at KIDS FIRST. Supports the academic mission of the Kids First program. Demonstrates professionalism, continued development
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Diploma or GED PLUS, actively enrolled and in good standing with an approved Nuclear Medicine Technology program. CPR certified Additional Information: Responsibilities: Produces general nuclear medicine
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PLUS Completion of Medical Assistant training from an accredited program. Ability to perform point-of-care testing, draw and collect blood specimens, and prepare for laboratory processing. Preferred
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clinical sections. • Assist in monitoring clinical learning experiences to ensure alignment with program outcomes, AACN Essentials, and state board requirements. • Participate in clinical program evaluation
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supporting their child’s development using the principles of Family Centered Care. Supports the academic mission of the Kids First program. This includes participation in the training of students and pre
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-3180. Department: COSMOS - Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our
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Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our understanding of cyber campaigns run on social media grounded in