832 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at University of Colorado
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to perform duties in an experimental lab. Examples of duties: Preparation of lab reagents Use of a database to record supplies and inventory Assistance with laboratory upkeep & maintenance Data collection and
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necessary. The Front Desk – Scheduler will NOT disseminate any clinical information such as diagnosis, test results or post care instructions. Key Responsibilities: Schedule outpatient visits, including
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symptoms appear. We’re seeking a Data Scientist who can analyze real‑world datasets and build well‑documented, reproducible machine‑learning pipelines in Python. You will drive exploratory data analysis
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research protocol information. Applicants must be legally authorized to work in the United States without requiring sponsorship. We are unable to provide work visa sponsorship or employment authorization
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. Collaborate with Clinical and Community Affairs to ensure accurate tracking and management of clinical faculty positions and related financial data. Prepare journal entries and cost transfers to maintain
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medication information, review research protocol inclusion/exclusion criteria, and confirm eligibility of participant to participate in clinical trials · Perform informed consent process or ensures
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System Administration . Position Summary: University Information Services (UIS) provides technical services and enterprise applications to the University of Colorado’s (CU) four campuses and the Office of
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guidelines. Routine meetings with monitors to reconcile data management issues. Participation in investigator’s meetings. Preparing and submitting compliance documentation for the institutional review board
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pertinent information. o Maintain and submit match data. o Use ERAS and Thalamus for fellow recruitment. · Provide scheduling support for the CAP track interviews for the general residency
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in the University of Colorado School of Medicine who are inventing and deploying advanced analytics and data or knowledge integration approaches. The goal of building this community is to make