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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
independently in a highly collaborative environment. Preferred Qualifications, Competencies, and Experience * Master’s degree in public health, health sciences, information science, human-computer interaction
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Hiring Range Dependent on education/experience Proposed Start Date Estimated Duration of Appointment 24 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching
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records for experiments. Uses statistical methods and relational databases to analyze data sets. Prepares or assists with preparing reports of research findings. Assists with planning, developing
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. May supervise the work of others. Description of Duties Conducts, monitors, and analyzes research projects and data. Uses statistical methods for the relational databases to analyze data sets. Prepares
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and the Behavioral Health Innovation and Dissemination Center (BHIDC) at the University of Utah are seeking a highly motivated postdoctoral research fellow with expertise in quantitative methods
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for high and low pressure systems using appropriate methods, including threading, brazing, soldering, welding, and lead wiping. Cut, fit, fabricate, repair, and assemble piping and related materials
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The Ho Lab at Yale University School of Medicine (https://medicine.yale.edu/lab/yachiho/ ) is recruiting motivated, productive, independent, and collegial postdocs interested in viral infection, T
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Coordinator, Facilities (Part Time) (Dewey, AZ) Posting Number req27037 Department Agric Extension Administration Department Website Link https://extension.arizona.edu/local-offices Location County Extensions
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skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications Experience working
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
the sensitivity and uniqueness of information used to express user intent, and estimating the consequences of data leakage, including re-identification risks. Sensitive data-flow analysis: tracking how personal and