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prior research experience in sociology - including a robust command of social science methods (e.g. ethnography, interviewing, policy/discourse analysis) and thorough theoretical expertise in cultural
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challenges in machine learning for short multivariate time-series analysis. By developing a multiway and multitask learning framework with built-in explainability, the project aims to deliver clinically
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to the research project at hand, having very good skills in discourse analysis, as well as an orientation in digital politics, are key requirements. Since the research will be conducted in an international and
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and data analysis. Excellent interpersonal and communication skills. Task-related Competencies Design and prepare research materials and conduct analyses of the research findings. Work collaboratively
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the possibility to specialize in one in consultation with the supervisors and the project leadership: • Policy Document Analysis: Utilizing document and content analysis, including text mining, to identify
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the conceptual underpinnings and wider academic, public and activist discourses on racism in care in the UK. Our team is interdisciplinary and works across epidemiological, clinical, experiential, social, cultural
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of segregation, culture, and politics, as well as social network analysis and computational text analysis. IAS is also home of the Swedish Excellence Center in Computational Social Science (SweCSS
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technology, power, and politics. Particular merits include: Skills in relevant methods, such as qualitative text or discourse analysis, digital ethnography, quantitative analysis of digital data, social
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may employ optional methods, such as quantitative and/or qualitative approaches, discourse or narrative analysis. Selection criteria will emphasize projects with a historical focus on one or more of the
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methodologies, including conference ethnographic and or digital ethnographic approaches (e.g. interview and focus group research, discourse analysis or app walkthrough method) How to apply Apply