1,193 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Utah in United States
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: Candidate must be able to demonstrate the knowledge and skills necessary to provide care appropriate to patients being seen in the integrated sports/spine program. The individual must demonstrate knowledge
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Open Date 01/14/2026 Requisition Number PRN44013B Job Title PS Nurse Practitioner Working Title PS Nurse Practitioner- Hospitalist Program Career Progression Track UGR Track Level FLSA Code Professional
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https://ucic.cs.utah.edu ). To build a representative faculty, we strongly encourage applications from populations underrepresented in computing, as well as candidates with nontraditional backgrounds
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discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities
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to work efficiently and independently. • Demonstrated computer skills and an ability and willingness to learn new applications and software, procedures and processes. • Ability to assimilate data from
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, or translational research. Interested applicants may apply at: https://utah.peopleadmin.com/postings/194094 For more information, please contact: Heather Clark, Division of Cardiothoracic Surgery, University of Utah
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for technology and reference assistance. Work with a team of students and library staff to answer questions in a variety of areas including campus and library services, research, computer software, printing
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identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or
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veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not
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inception and help shape its direction and culture. We develop computational tools and approaches to study the most challenging and rapidly evolving regions of the human genome—segmental duplications. Using