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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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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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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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will aid in sustaining the growth of small and medium-size companies and business units within large companies. The commercialization lead will prioritize the development, scaling, and commercialization
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while exercising sound judgment. Willingness to work occasional evenings and weekends for donor engagement. Preferred qualifications: Experience in a large, complex organization. Six or more years of
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equipment using computer monitoring system. Take meter readings and complete daily log sheets timely and accurately. Clean and adjust fuel oil strainers, tanks, and related equipment. Make basic computer
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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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alumni and promote volunteer opportunities. Maintain and track alumni data in the Donor Management System (DMS); use insights to guide future programming. Represent CCAPS in University of Minnesota Alumni
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: • Expertise in metabolic research. • Experience with in vivo mouse models. • Proficiency in bioinformatics, proteomics, metabolomics, or other large-scale data analysis. • A track record of presenting
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in two important AD research projects funded by the National Institute on Aging. We will conduct a large-scale analysis of already-collected blood samples from older adults to examine plasma components