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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
, and organizational skills Developed conceptual capacity and analytical skills, such as the ability to critically engage with heritage theory, migration studies, and participatory or arts-based
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compartments, using a combination of chemical, physical, and analytical techniques. The PhD will be supervised by prof. Nathalie Katsonis, and carried out in close collaboration with prof. Ben Feringa
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political agency. You will be asked to: Conduct research independently (carry out archival work, conduct interviews, analyze the data). Write and Complete a dissertation within the framework of the project in
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(MSc, preferably research master) in Econometrics or related field or economics with a strong quantitative focus. Being able to read Mandarin is a plus. Programming and data analytic skills are key
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Engineering are looking for a PhD student for the project “Assessing the reliability of news and online information: fostering critical digital literacy skills for Generative AI”. The project is funded by a M20
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sharing information about wars and conflicts – but also for turning them into a spectacle exploited for profit. The sheer number of social actors involved in reporting conflicts on social media and their
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our eyes: on the screens of our computers and smartphones. Social media in particular have become a powerful platform for sharing information about wars and conflicts – but also for turning them into a
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advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality diagnostics on the printed parts. The PhD project is
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related domain that is relevant to the execution of the research proposal. The ideal candidate has the following competences: Creativity an analytical mind results-oriented a critical research attitude
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platform for metal AM parts; 2)develop and perform advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality