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levels. A central component of your work will be the collection and analysis of qualitative empirical data. The empirical work will be based on in-depth case studies of firms operating within the Danish
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implementation is an advantage Strong problem-solving and analytical abilities Ability to work independently and structure complex research tasks Interest in interdisciplinary research at the interface
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time or other disturbances. If these problems remain unidentified, they can result in incorrect clinical decisions and poor patient management. In this PhD project, you will collect experimental data
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scenarios, and analyse the resulting data. You might further engage in qualitative follow-up studies gaining in-depth knowledge about the underlying mechanisms. A central part of your work will be
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open. AI-intensive service sectors with traceable occupational structure (fintech, marketing/RegTech, HR analytics, professional services with rich job-posting data) are natural candidates; final sector
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regard to methodological and theoretical approaches, and we welcome projects that incorporate artistic, practice-based, analytical, or interdisciplinary elements. The PhD student is, in close dialogue with