808 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" positions at University of Colorado
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quality improvement initiatives through participation in studies, data collection, and report writing. · Work Location: Onsite – this role is expected to work onsite and is located in Aurora, CO. Why Join
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% · Performs statistical analyses of large and small data sets including metabolomic and proteomic data sets and has an excellent fund of knowledge about different statistical approaches - 10
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work experience will be used in the assessment process. · Click here to view Veteran and other General Information regarding Classified Staff positions: https://www.cu.edu/cu-careers/special
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research using quantitative or qualitative data and appropriate methods. We would be especially enthusiastic about candidates with some exposure to clinical data; injury/mortality/morbidity data
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% · Performs statistical analyses of large and small data sets including metabolomic and proteomic data sets and has an excellent fund of knowledge about different statistical approaches - 10
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mental health populations. Interested in a part time position (0.2 – 0.49 FTE)? Please apply using this requisition: https://cu.taleo.net/careersection/2/jobdetail.ftl?job=39108&lang=en Work Location
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contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: CU is an Equal Opportunity Employer and complies with all
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organizations (UCH, Children’s Colorado, CU Medicine, CU SOM). Ability to work within large, complex healthcare systems. Ability to analyze and interpret data. Ability to compile complex reports and develop
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and graduate students. This position will focus on information literacy instruction for disciplinary courses and developing digital learning objects to support the department's expanding instruction
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of patient identification and patient information. The importance of this step and process cannot be overemphasized. The assistant will organize accession specimens and assist in preparing them for processing