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%) Lead the research team including experiments using animal and human samples and associated data. Biospecimen and Molecular Analysis: Collect, process, and store human and/or animal biospecimens (blood
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. Analyzes large data sets to identify trends and patterns. Presents actionable data to end users in appropriate formats, including reports using Microsoft Access, Word, Excel, or PowerPoint. Supports users in
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, develop event management manuals, assign staff and establish game-day protocols to ensure compliance with department, University, Big Ten, WCHA, and NCAA rules and regulations. 30% – Manage the department’s
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and coursework, research and lab experience, website management experience, experience with spreadsheets and databases, experience managing large data sets, Preferred Qualifications: Familiarity with
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procedures associated with small and large animals at a competent level. • Responsible for quality control of diagnostic/medical equipment and notification of appropriate repair personnel when equipment is
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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, physician training, new surgical techniques, and other academic projects requiring the use of large and small animal models. ESS serves as a core resource across the University to support interdepartmental
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publish high-quality scientific work. Preferred Qualifications: • Experience working with large data sets (Big data). • Experience with Python, Julia, R, C++, and/or other programming languages
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student-athletes during competition. They serve in positions that affect the game as directed by the game officials assigned by the Big Ten Conference. These positions include keeping being the official
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health and disease, using electrophysiology, optogenetics, transgenic animals, and mouse models. The candidate will advance work by creating and modifying custom software for data collection and analysis