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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
data anonymization workflows Data visualization for scientific analysis and reporting Use of version control systems (e.g., Git) and collaborative software development practices Experience working in
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needed (in-person and virtual visits, ecological momentary assessment/accelerometer set-up, recruitment) Assist with processing and analysis of neuroimaging data Meet regularly with the Principal
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project to include one (1) year supervisory experience. Preferred Experience N/A Equipment Use of standard office equipment, personal computer, and audio/visual equipment. Working Conditions Needs to be
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informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab can be found on Google Scholar https://scholar.google.com
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
conception through data collection or acquisition, analysis and dissemination, and project administration. https://www.cpc.unc.edu/about/ Position Summary The Postdoctoral Research Associate (Postdoc) will
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. Minimum 8 years of experience or equivalent relevant experience, in the analysis, retrieval and management of clinical data from a healthcare software system. Experience with modern cloud and data platforms
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research staff in data analysis and relevant research projects as assigned by the Principal Investigators. May assist with the coordination and evaluation of non-professional staff training. Conducts data
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and research. Conducts data analysis and database management, and prepares technical documentation to ensure the reliability and continued operation of research software systems. FLSA Nonexempt Salary
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of diversity and community engagement. To find out more about the Department of Art & Design, visit https://www.csusb.edu/art. For more information regarding the position, please contact: Recruitment Chair
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involving arthropod vectors under laboratory, greenhouse, and field conditions. Strong quantitative and analytical skills and familiarity with appropriate statistical analysis and scientific data