908 computer-programmer-"https:" "https:" "https:" positions at University of Arkansas
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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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will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page. Closing Date: 02/27/2026 Type of Position: Professional Staff - Project/Program
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program Valid Registered Nursing License Minimum of 1 year of Registered Nursing experience; Basic computer skills. Excellent communication skills. Strong work ethics and accountability. Preferred
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social workers all available to support the patient in all aspects of their care. Qualifications: Minimum Qualifications: Graduate of an accredited Nursing Program with an Associate degree, Nursing Diploma
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: Minimum Qualifications: Bachelor’s degree in Nursing, Associate’s degree in Nursing, Diploma RN, or Master’s degree in Nursing. Must be a graduate of an accredited RN nursing program Valid Registered
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of experience, satisfactory performance appraisals and recommendation by manager. Qualifications: Minimum Qualifications: Graduate of an accredited nursing program with an Associate’s Degree in Nursing, Nursing
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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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; assist with all program activities; complete student evaluation forms; attend orientation and staff meetings; assist instructors in classroom activities; assist in tutoring students during the evening help
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, or related field from an accredited institution of higher education At least two years of experience in program administration or related area Applicable equivalencies may be considered for the above
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Graduate Research Assistant will help develop socio-computational models to advance our understanding