878 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at University of Colorado
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, 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
-
: · Apply basic to intermediate statistical, programming, and epidemiological methods to support research projects. · Prepare, clean, and manipulate datasets for use in detailed data queries and
-
% · 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
-
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
-
team. The position is specifically focused on the analysis of omics data (genetic, microbiome, epigenetic, proteomic and/or metabolomic data) in the biomedical sciences. In this role, you will
-
research grants. For more information, visit www.cuanschutz.edu . Faculty Practice Description: The CU College of Nursing Women’s Health Clinic is an academic practice model that works collaboratively within
-
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
-
Title: Open Rank: Professor Series (Auditory & Vestibular Function Research) Position #00827454 – Requisition #38123 Job Summary: The Department of Otolaryngology-Head & Neck Surgery (https
-
monitoring vital signs. Data Management: Abstract, code, and record patient data into Case Report Forms (CRFs) and clinical trial databases with a focus on accuracy and timely entry. Regulatory Compliance
-
% · 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