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Field
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. Knowledge of Python programming language, including experience in developing scripts and tools for data processing and analysis. Demonstrated ability to meet deadlines and deliverables. Willingness and
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at the University of Utah and beyond. We have deep connections with the Division of Epidemiology within the Department of Internal Medicine, the Division of Pediatric Critical Care within the Department of Pediatrics
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and presenting relevant data. Develop and formulate best practices and protocols in data collection, warehousing, analysis, and reporting. Perform additional duties as assigned. SCHOLARSHIP Engage in
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well as features representing regional function; developing and testing methods for regional blood flow and ventilation; and utilizing output of quantitative image analysis methods together with subject demographic
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, Medicine, Global Health, Respiratory Medicine). Strong background in epidemiology, clinical research, or biomedical sciences. Proficiency with data analysis and statistical software (e.g., R, SPSS, Stata
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communities by 16S rRNA gene sequence analysis is preferred. Experience in applying molecular biology approaches such as genomics, transcriptomics and proteomics would be an advantage. An MS-level experienced
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of mass spectrometrist, informaticians, and glycobiologists to develop workflows for the analysis of (glyco)proteins, their interactions, and applications of the methods to collaborative projects supported
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of statistical analysis software and for imaging processing of structural and functional MRI data (e.g., SPM, FSL, AFNI, Neurobehavioral Systems) is highly desirable. To apply, please send a letter of interest and