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the so-called multimodal turn, including collaborative and reciprocal research, experimentation with storytelling, expansion of methods beyond traditional text-based ethnography, and evolving public roles
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these emergent collaboration ecologies. Such examinations may require in-depth qualitative analyses but also mixed-methods approaches, possibly enabled by emerging AI-enhanced techniques. The PhD project should
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on information presentation methods for (re)building and maintaining situation awareness when interacting with AI-enabled systems. Ethics in Human-AI teaming: Addressing ethical challenges in AI-assisted decision
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deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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, including public policy and administration, comparative politics, political theory, international relations and research methods. The appointment is for a fixed, non-tenured term of 4 years, and has a 25
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power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods
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international researchers. The successful candidate should have hands-on experience with a broad range of methods in molecular biology, cell biology, and biochemistry that may include mammalian tissue culture
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or cryogenic electron microscopy (cryo-EM) Determination of protein ligand binding using biophysical methods (SPR, ITC, or related methods) Experience in the following areas is an advantage: Structure-based drug
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excellent candidates in all sub-fields of political science, including public policy and administration, comparative politics, political theory, international relations and research methods. The appointment
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, which offers comprehensive insights into AI adoptions and its effects., By examining AI adoption trends, the most commonly used AI methods, and their impact on firm-level innovation, productivity