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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions
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scenarios. Your research will map multilevel governance structures and you will co‑create mitigation strategies through participatory workshops. You will model farmers’ adaptation behaviour using agent‑based
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project, bringing together various Dutch universities, waterboards, drinking water companies, and industrial partners. You will join a modelling and assessment‑oriented work package and collaborate closely
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. Personalizing user interactions by building models that adapt explanations to specific knowledge levels and interests of users, so that user modelling and formal reasoning transform opaque decision-making
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innovative Non-Destructive Testing (NDT) with advanced structural modeling. As a PhD candidate, you will bridge the gap between experimental NDT and structural safety analysis. Your work will involve: NDT
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state-of-the-art tools and AI libraries developed at the TU/e, such as GameBus and Experiencer. The collected data forms the basis for developing predictive AI models that tailor coaching content and
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will focus on understanding, modelling, and controlling these topologically-protected spin waves, addressing both fundamental questions and potential applications. Your job This project consists of a
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experiments in particle physics. Join Us! We are seeking a PhD candidate under the supervision of Jordy de Vries who focusses on precision calculation for low energy searches for beyond the Standard Model
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of early life adversity and adolescent THC exposure on later life social behavior and stress coping in a mouse model. Join us! Although cannabis is generally considered a ‘safe’ drug, there are concerns
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with modern machine learning. You will work on extending data-driven models with process-informed constraints and novel data integration strategies. The position is embedded in the Computational