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understanding of combustion and engines. Knowledge of advanced combustion concepts is a merit but not a prerequisite. Practical experience of engine operation in a lab is a merit. Knowledge of control theory is a
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engines. Knowledge of advanced combustion concepts is a merit but not a prerequisite. Practical experience of engine operation in a lab is a merit. Knowledge of control theory is a merit and even better is
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Job Description Are you passionate about understanding the composition of the footwear we use, while exploring more circular options for design for recycling? At the Technical University of Denmark (DTU), we are offering a fully funded PhD position focused on understanding and mitigating the...
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18 Sep 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU Sustain Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Denmark Application Deadline 31 Oct 2025 - 23:59 (Europe/Copenhagen) Type of...
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and combines social-scientific traditions such as organization theory, sociology, science and technology studies, political economy, and social psychology in the analysis of organizing processes and
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organization theory, sociology, science and technology studies, political economy, and social psychology in the analysis of organizing processes and their outcomes. Methodologically, we value qualitative
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approach is interdisciplinary and combines social-scientific traditions such as organization theory, sociology, science and technology studies, political economy, and social psychology in the analysis
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qualitative research as an integrated whole, where methods, theory, and empirical work mutually enrich each other Brings together diverse perspectives: humanistic, educational, socio-cultural, and existential
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methods, theory, and empirical work mutually enrich each other Brings together diverse perspectives: humanistic, educational, socio-cultural, and existential psychology Actively contributes to public
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models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train these methods in a closed-loop