12 software-verification-computer-science Postdoctoral positions at University of Utah
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population-based research and statistical modeling. Strong publication record and scientific writing skills. Proficiency in statistical software (e.g., R, SAS). Ability to work independently and
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. · Experience in population-based research and statistical modeling. · Strong publication record and scientific writing skills. · Proficiency in statistical software (e.g., R, SAS
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radiology, pathology and computer science. The University of Utah is building a new program in integrating radiology and pathology imaging for clinical outcomes predictions. This program provides strong
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, and other pathologies. The post-doctoral scholar will be embedded in a multi-disciplinary research team that includes faculty in radiology, pathology and computer science. The University of Utah is
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Associate to join our team investigating fundamental questions in ribosome biology. Our research is centered on understanding the mechanisms of protein synthesis and translational control in health and
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Health Sciences PhD Program), and community engagement activities, we promote patient-centered health care and the delivery of evidence-based health innovations that improve population health and reduce
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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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Research and Training Institute (CVRTI), is seeking a motivated postdoctoral fellow to work on projects that bridge from basic cell biology to small and large animal model systems. The focus of the lab is
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Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary M-F 8-5 VP Area U of U Health - Academics Department 02171 - Education Program and Trainees Location Campus City Salt
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linked records. HCI’s excellent biostatistics and research design, genomics resources, and biospecimen repository, as well as a strong research informatics core, enable outstanding research in cancer