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command of qualitative research methodologies and research design. You are an independent and reflective thinker, able to engage with different theories and perspectives and reflect on your own
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candidate to join our team and work on this exciting project. The PhD project will encompass theoretical and numerical modelling, necessary to simulate and optimise the effect of surface modifications
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) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights into the key parameters governing
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-specific developmental timing and synchronization shape the formation of the human thalamocortical system. The project combines endogenous prenatal tissue, advanced human stem cell models, organoid and
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manufacturing machines and advanced mechatronic systems, rely on ultra-reliable, low-latency, and deterministic communication between distributed sensors, controllers, and actuators. Ensuring such performance
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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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, protein-rich cropping systems that improve ecosystem services while minimizing negative impacts on biodiversity and the environment. Develop and parameterize a crop growth model for novel protein crops
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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