832 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Colorado in United States
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: https://education.ucdenver.edu/about-us/strategic-plan Job Description * Applications are accepted electronically ONLY at www.cu.edu/cu-careers * The School of Education & Human Development
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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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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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Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state
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, the position will focus on ethical use, tool evaluation, policy creation, accessibility (WCAG/FERPA) use guidelines, data compliance, and developing AI-enhanced teaching resources. This position reports to CU
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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
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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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Title: Open Rank: Professor Series (Auditory & Vestibular Function Research) Position #00827454 – Requisition #38123 Job Summary: The Department of Otolaryngology-Head & Neck Surgery (https
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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