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particularly critical gap because each of these species can spread by clonal (vegetative) growth, so populations that appear large and healthy might actually consist of only one genetic individual, meaning
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newly created division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE
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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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. 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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%) 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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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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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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, 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