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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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with flow modelling for applications in industrial wind tunnels for the aerospace sector and oversee the application of helium-filled soap bubbles as flow tracers up to the supersonic regime. Job
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modelling, soft robotics, neuro-inspired systems and space exploration. This includes projects on soft-body locomotion and “novelty search” strategies for soft robotic explorers operating on rough planetary
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-validated mouse models for various leukodystrophies offer opportunities to study myelin swelling and remodeling in disease contexts, taking an important step towards a better understanding of this
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the deployment of the co-development pathways. The postdoctoral researcher will work closely with colleagues developing pathways in Work Package 3, modelling and simulation tools in Work Package 2, and case
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of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically relevant cardiac rhythm patterns, predict disease progression and treatment response, and support personalised
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interested in developing innovative behavioural models to understand how urban mobility policies shape human behaviour, exposure, and environmental outcomes? Job description We are seeking a highly motivated
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-term home monitoring of motor impairments in stroke and Parkinson's disease patients. The position is based at TU Delft, with part of your time spent on-site at Model Health (Leuven, Belgium) for the
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Processes (CLARA). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in
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Rijkswaterstaat, ProRail, Schiphol Airport, Port of Rotterdam and Vervoerregio Amsterdam to combine quantitative modelling, adaptation planning and stakeholder engagement into actionable climate resilience