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both independently and as a team member. Ability to work carefully with sensitive and confidential data. Ability to work with large, complex, and/or administrative datasets. Working Conditions
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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
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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
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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
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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
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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
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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
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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
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Facilities managing all of the BSD cores on campus. Job Summary The job performs routine laboratory data collection and analysis to support clinical research, and assists in specialty research involving
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required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources