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Field
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an interest in both theory development and engagement with practice. The PhD position is part of the larger AMBITIONS project involving TU Delft, Utrecht University, and Avans Hogeschool, working together
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in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale
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to enable intelligent, real-time decision-making in large-scale interconnected systems. This position offers the opportunity to contribute to foundational research at the intersection of control theory
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engineering and information technology, protection automation and control theory studies. The PhD candidate will address new protection, control, and automation concepts development, understanding important
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tunnel testing and statistical modelling using extreme value theory, the project will yield predictive frameworks for structural risk under rare yet damaging wind conditions. The results will support
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) datasets. Capacity to convincingly connect concepts and theory to tangible heritage. General knowledge of (bio)archaeological subdisciplines. Previous work on cultural heritage and/or public archaeology. We
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will have a PhD or equivalent doctoral degree in a related field, completed by the start date of the posting. Relevant research background includes a knowledge of the academic literature and theory in
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative
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-in-modelling-food-… Requirements Specific Requirements You are eager to tackle real-world challenges in food supply chains and are driven by a strong ambition to bridge theory and practice. You are
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engineering and wave-wind theories is advantageous Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable Ability to work independently