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compression, event-based or neuromorphic vision, signal processing, machine learning or deep learning for visual data. - Motivation for research and scientific dissemination. - Good communication skills in
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
Posting Details Posting Details Position Title Research Data Librarian External Link to Posting https://jobs.uncw.edu/postings/37005 College Teaching, Learning, and Library Svs - 308 College Dept
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Posting Details Posting Details Position Title Research Data Librarian External Link to Posting https://jobs.uncw.edu/postings/37005 College Teaching, Learning, and Library Svs - 308 College Dept
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information; 6 mos. experience (600 hours training) in operation of computer and related peripheral equipment; 3 mos. experience (300 hrs course work) in information research & analysis. Additional
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/Administrative Internal Number: 500774 Job Summary: The Postdoctoral Research Associate will work in the Kinesiology department and will be responsible for leading data collection and analysis in conjunction with
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departmental business administrators. Implement business process improvements and training programs across departments. Provide support for budget and financial analysis using University data warehouse and
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, immunostaining and various aspects of zebrafish genetics. In addition, the scholarship holder will manage with advanced microscopy to visualize muscle cell architecture and dynamics and engage in data analysis
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livable cities. The ideal candidate would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data
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high-quality peer-reviewed research articles, present findings at scientific conferences and professional meetings, contribute to data visualization, figure preparation, and professional scientific
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, including biomedicine, biotechnology, and health care and enable effective analysis of large, complex biomedical data sets (i.e., big data). Overall, IU Indianapolis research contributes significantly