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Digital Transformation for Education, Work and Professional Practices is open for appointment from December 1st., 2026 or as soon as possible thereafter. The position is a full-time fixed term of 3 years
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or soon hereafter. The stipend is available within the doctoral program “Biostatistics and Epidemiology”, and the duration of the position is three years. Your work tasks This PhD project sits
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-term position of three years, including merit for previous work, and is expected to start on 1 December 2026 or as soon as possible thereafter. The position is based at the Department of Materials and
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facilities and strong interdisciplinary collaboration. You will work alongside researchers from a wide range of disciplines and engage with hospitals, industry and public-sector partners to address some of
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, deterministic systems. You model them, you optimize them, you operate them. That paradigm is breaking down. As electricity replaces fossil fuels, industrial systems must operate under fundamentally new conditions
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collaboration. You will work alongside researchers from a wide range of disciplines and engage with hospitals, industry and public-sector partners to address some of society's most important health challenges
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Collaborate Work (CSCW), Human-Computer Interaction (HCI), Participatory Design, and Artificial Intelligence, the lab explores how AI can act as a local infrastructure for collective inquiry, knowledge building
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contribute to interdisciplinary research spanning process engineering, power engineering and sustainable energy systems and help develop future large-scale Power-to-X solutions. Your work tasks In this PhD
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Collaborate Work (CSCW), Human-Computer Interaction (HCI), Participatory Design, and Artificial Intelligence, the lab explores how AI can act as a local infrastructure for collective inquiry, knowledge building
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and green transitions in port ecosystems. The position is open for appointment from 15th October 2026 or as soon as possible thereafter and runs for three years. Your work tasks The PhD project