14 web-programmer-developer "https:" "https:" "https:" "U.S" Postdoctoral research jobs at University of Utah
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discovery and intervention development aimed at improving health outcomes and care delivery across clinical, community, and policy environments. Each trainee will participate in a two-year program (year two
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Date 03/27/2026 Requisition Number PRN44612B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Career Progression Track A00 Track Level P4 - Advanced, P3 - Career, P2 - Developing, P1 - Entry
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, and manuscript writing. The position will entail working closely with an interdisciplinary team of investigators from the fields of lifespan development, population health, sociology, geography, and
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, and manuscript writing. The position will entail working closely with an interdisciplinary team of investigators from the fields of lifespan development, population health, sociology, geography, and
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-related conditions, genetic information, or protected 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
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, 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 activity that it operates, as required by
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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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Institute’s mission and this position. Responsibilities The University/Huntsman Cancer Institute (https://healthcare.utah.edu/huntsmancancerinstitute/) is a vibrant community, home to exceptional epidemiologic
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instruments and equipment. Instructs others in their use. 6. Maintains a log of supplies used in procedures. 7. May supervise, train and review the work of laboratory personnel. 8. May prepare equipment and
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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