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Critical Language Awareness (CLA) theory. The project aims to develop guidelines, recommendations and resources for educators and/ or journalists to foster awareness of the power of language and discourse in
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, including local hydrogen and electricity markets, but also flexibility markets related for managing network congestion. Some specific topics that are relevant for this PhD position include (non-exclusive list
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information and critically engage with it. An important aspect of the project is its educational component, embedded in Critical Language Awareness (CLA) theory. The project aims to develop guidelines
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opportunity to develop their academic writing skills, undertake archival work, gain teaching experience and develop career skills. The candidate will be embedded in the Chair Group of History and Theory
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are coded within practices and discourses. The candidate will perform empirical research by analysing data to trace emerging governance arrangements and assess how they interact with those normative ideals
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theoretically and empirically driven research with normative considerations. Specifically, the project will examine where normative ideals are coded within practices and discourses. The candidate will perform
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with theories dealing with stance taking (see, e.g., Jaffe, 2009; but also Boltanski & Thévenot, 2006), pragmatic inferences (e.g., Potts, 2005; Levinson, 1979), as well as an engagement with frameworks
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about social meaning (Solt et al., 2025; Sinnott, 2013). The project will thus require the candidate to engage with theories dealing with stance taking (see, e.g., Jaffe, 2009; but also Boltanski
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contributions to the forefront of scientific exploration, while actively shaping the future of dynamic systems theory. Only candidates with a Master’s degree should apply. The PhD researcher should have a strong
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exploration, while actively shaping the future of dynamic systems theory. Only candidates with a Master’s degree should apply. The PhD researcher should have a strong interest in experimental testing, data