Sort by
Refine Your Search
-
statistical software (e.g., R, SAS, or Stata) and data management tools. Familiarity with working with large clinical datasets or national registries (e.g., NSQIP). Strong understanding of clinical research
-
large datasets and extract meaningful insights. Develops and presents data visualizations utilizing appropriate statistical packages. Works closely with colleagues and external partners to share insights
-
Department PSD Applied Data Science Staff About the Department The Master of Science in Applied Data Science (MS-ADS) program is a large professional graduate program within the Data Science
-
single large complex project to a program of smaller projects for university unit(s). Support Facilities Services and other University departments and units in pre-project planning activities, including
-
sciences and mathematics, and this tradition of innovation continues today. Our inquiry and impact spans from the edge of the observable universe to human-computer interaction, from biophysical materials
-
this position will be involved in the procurement and management of HPC hardware and software. This is a hybrid position requiring 3 days onsite. Responsibilities Installing, configuring, and maintaining large
-
analysis. Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various
-
Specialist is responsible for preparing, reviewing, and submitting proposals for support of research, training, and other sponsored activities at the University of Chicago as well as for large complex
-
maintaining data related to contract suppliers; and analyzing extensive proposals to determine lowest cost, develop methodologies to identify similar suppliers to achieve consolidation of the University’s
-
at governments in low- and middle-income countries, multilaterals, and large international organizations, to build successful policies and processes. Familiarity with weather forecasting techniques and/or