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of coronary artery disease and supporting clinical decision-making during catheterization procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop
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of workforce sustainability as much as one of clinical effectiveness. Aim and objectives The project aims to use modelling to propose risk-based follow-up strategies that match surveillance intensity
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but is meant to be shaped substantially by the candidate's own interests and expertise. The candidate will cultivate the living organism itself, characterize and model its visible responses to different
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combining advanced experiments with multiscale modelling, CIRHY enables reliable, sustainable steels for future infrastructure and industry. The project was granted by the Dutch national funding agency NWO in
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in auditory neuroscience, neuroimaging, and AI/NeuroAI. In this role you will bridge human neuroimaging and computational modelling . You will collect and analyse neuroimaging data (7 Tesla fMRI
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, modelling, prototyping and experimental validation. The best fit is A candidate interested in high-frequency measurement techniques, sensor hardware development and precision experimentation. PhD 2
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Challenge: Predict long-term cardiac growth and remodeling in cardiovascular disease. Change: Develop multi-scale mechanobiological models for virtual human twins. Impact: Advance patient-specific
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approach that includes stakeholder engagement, behavioural science, design research, transition studies, and modelling, the project aims to develop empirically grounded interventions and governance
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renovation. Impact: Enable robust decisions for sustainable buildings. Job description Delft University of Technology is hiring a PhD researcher on “Uncertainty-based Life-Cycle Modelling for Building
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engagement, behavioural science, design research, transition studies, and modelling, the project aims to develop empirically grounded interventions and governance strategies that enable lasting behavioural