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discourse analysis and/or critical visual analysis. The specific methodological design will be further refined in the first six months of the project in collaboration with the PhD candidate, who will receive
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, incorporating a systematic literature review, multimodal discourse analysis, media diaries, focus groups, and in-depth interviews with women who have been targeted by disinformation campaigns. This comprehensive
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? Methodologically, the investigation will take a qualitative approach, combining interviews, archival work, textual analysis of films and associated archival materials, policy analysis, and/or oral histories. You
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a theoretical framework integrating qualitative research methods and material analysis focused on art and architecture; Identify and establish key case studies (e.g., proto-industrial silk sites
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circular economy. - Fluent in English, both spoken and written. - Open to learning new quantitative data analysis, modelling and qualitative analysis skills as needed. Additional Information Benefits
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, machine learning, and latest state-of-the-art biochemical analysis tools. You will explore how active enzymes drive cytoplasmic motion and how this influences cellular function and life itself. This is a
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Sciences. Knowledge of sensory and/or motor systems in the body is preferred. Experience and/or enthusiasm for public outreach. Research experience with human subjects. Training with data analysis on time
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PhD in Film Studies: Cinema’s Mediterranean Connections, Archives, Flows and Southern Epistemologies
, industry analysis, and close readings of film texts—depending on the specific contours of their proposed projects. Period of funding 1.0 FTE, 4 years Organisation Since its foundation in 1614, the University
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knowledge of methodologies relevant to social media research, with a preference for corpus linguistics and social network analysis. Excellent analytical skills and capacity to do innovative interdisciplinary
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enthusiasm for public outreach. Research experience with human subjects. Training with data analysis on time-varying signals (e.g., acoustic signals, movement tracking). Coding experience (e.g, MATLAB