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Academic Job Category Faculty Non Bargaining Job Title Research Associate Department Oberle Research HELP | School of Population and Public Health | Faculty of Medicine (Eva Oberle) Posting End Date
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a skilled Data Analyst to support gynecologic cancer health equity research through data management, statistical analysis, and collaboration on multidisciplinary research projects. Data Analyst
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University, Edinburgh, is seeking to enhance and expand its strengths in research and teaching by appointing an Assistant Professor in Statistical Data Science, or related area. This is an open-ended position
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around two pillars: mathematical statistics and applied statistics, with ample space for projects that bridge and connect the two. Our research activities are heavily intertwined with applications e.g
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Reference Number 256/AAP/009 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your function As a teaching assistant, you support the practice-related educational
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for internal and external dissemination. Maintains well-documented, reproducible code and workflows. Assists in analyzing data for the purpose of extracting applicable information. Performs research projects
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Health Workforce Research Center, and Behavioral Health Workforce Research Center. The Data Analyst will * Perform data cleaning and statistical analysis using SAS, Stata, R, Python, and SQL. * Perform
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eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits
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standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering
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of Economics and Department of Statistics and Data Science: Associate/Full Professor - We seek a candidate whose research bridges econometrics, computation, statistics and data science in the modern AI era