43 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University of Utah
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may close at any time) Job Summary The Division of Epidemiology’s Program for Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA) is seeking a full-time Research Assistant (RA
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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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Department 01552 - HCI Yelena Wu Research Program Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 12.02 to 21.63 Close Date 03/01/2026 Priority Review Date (Note
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Our research team is hiring part-time community-based research assistants to conduct direct observation data collection for the Building Healthy Families program. This is a part-time, hourly position
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development and growth of our Practice Based Research Network (PBRN). This open-track, open-rank position offers an exciting opportunity to provide leadership in integrating research to patient care, joining a
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postdoctoral position is available in the Chaudhuri lab within the Nora Eccles Harrison Cardiovascular Research and Training Institute (http://www.cvrti.utah.edu), at the University of Utah. Projects
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-university program in 2021. The Center works especially closely with 10 transdisciplinary Center Program Directors who hold faculty appointments in 4 U of U departments and will work closely with faculty and
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internship position aspire to apply to a graduate genetic counseling program. Applicants may also be interested in unique health care positions, human genetics, or cardiology. Responsibilities Essential
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. 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 to discriminate in education
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites