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, processes, and practices, and how educational institutions prepare students to navigate these changes and contribute to the development and implementation of AI. The project may draw on perspectives from
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-timescale optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation
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that encourages scientific curiosity, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will
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encourages scientific curiosity, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will develop
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, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will develop advanced research competencies alongside
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, you will work at the intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types
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related qualitative methods, the PhD fellow will explore how students experienced, negotiated, and articulated dissatisfaction with schooling. The PhD fellow will contribute to the development
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be to develop wireless sensing and communication methods that are designed together with AI-based inference, rather than treating connectivity as a separate layer. Particular attention will be given
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addresses one of the most pressing challenges facing contemporary port ecosystems: how ports can develop new strategic roles in support of the green transition. The project will explore how ports move beyond
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of