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., inverse probability weighting, or doubly robust approaches). They should be confident working with large-scale datasets in R or Stata, including data management and multiple imputation, and committed
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Research Fellow within Behavioral and Evolutionary Ecology. About the position Are you interested in anthropogenic effects on the evolutionary and behavioral ecology of large mammals, and want to engage in
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and their experiences of education. The post offers an exciting opportunity to contribute to the final stages of large-scale project that aims to understand what processes are linked to the mental
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part of a dynamic, engaged, and enthusiastic research team. To be successful, you’ll have: PhD in Accounting, Economics, Finance, Management, Marketing, Information Systems and Business Analytics, Law or
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., inverse probability weighting, or doubly robust approaches). They should be confident working with large-scale datasets in R or Stata, including data management and multiple imputation, and committed
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. Requirements PhD in Education, Psychology, Child Development, Statistics, or a related field. Strong experience in quantitative data analysis, preferably in secondary data analysis of large-scale datasets and
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, administration and management of a large-scale quantitative survey, including data handling and preparation for analysis Assisting with qualitative data collection, including recruitment, interviewing and
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the Department of Mathematical Sciences . The Department has a large and active research center in mathematics education, MERGA, with about 15 fellows on its PhD programme. The PHD Research Fellows appointed
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systems, and subsystems, particularly rotating machines. Data Science – handling and processing large data sets (experience across multiple domains welcome). Research in Artificial Intelligence – including
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow in Industrial & Systems Engineering Division Academic Affairs Department College of Engineering (Col