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advanced statistical software (e.g. Stata, R) You have proven experience in advanced applications of hazard modelling, dynamic microsimulation and/or spatial analysis. You are attracted by the prospect
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of 10 ECTS is achieved, including support in courses Data Management and Statistical Software (6 ECTS), Classic and Modern Methods of Data Analysis (9 ECTS) and Advanced Methods in Epidemiology (3
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methods until a weighted equivalent of 10 ECTS is achieved, including support in courses Data Management and Statistical Software (6 ECTS), Classic and Modern Methods of Data Analysis (9 ECTS) and Advanced
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the digitisation process. You will work closely with the project’s Research Software Engineer and provide material for the digital edition of Woolf’s library according to the project’s schedule. You are prepared
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annotation of links between his reading and his writing. You will report to the project’s PI on a weekly basis. You will work closely with the project’s Research Software Engineer and provide material
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the digitisation process. You will work closely with the project’s Research Software Engineer and provide material for the digital edition of Woolf’s library according to the project’s schedule. You are prepared
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annotation of links between his reading and his writing. You will report to the project’s PI on a weekly basis. You will work closely with the project’s Research Software Engineer and provide material
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practical experience with qualitative research methods, particularly discourse or content analysis. You are familiar with Qualitative Data Analysis (QDA) software like Nvivo, MaxQDA or Atlas.ti. Interest in
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analysis. You are familiar with Qualitative Data Analysis (QDA) software like Nvivo, MaxQDA or Atlas.ti. Interest in economic sociology, the sociology of imagined futures or related fields of research is
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must be a doctoral candidate, i.e., not having a Doctoral degree at the recruitment date. You hold a Master’s degree (or equivalent) in Computer Science, Artificial Intelligence, Software Engineering, or