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particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting contemporary history of Luxembourg and the history
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning). The goals are to develop new computational methods that allow the scientific inference
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role The topic of the PhD will be related to research carried out in our group, focusing
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referee A brief (around 500 W) sketch for a potential PhD project (research question, a short literature review, an overview over the methods and data that you aim to use), related to the design and topics
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various