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into account different flood types and their generating processes. As PhD candidate you will compare several hydrological models such as HBV, WALRUS and LISFLOOD for case study regions around the globe
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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Description In this project, you will contribute to the development of a multimodal preclinical imaging platform, which you will then apply longitudinally to study skeletal muscle changes in a mouse model of
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consortium also includes industrial and clinical partners. This particular PhD project aims to develop the in-vitro vasculature-on-chip models, microfluidic chips in which controllable and physiologically
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Vacancies PhD opening: Intra-wave modeling of coastal nourishment morphodynamics Key takeaways This research position is part of the NWO-funded SOURCE program: Sand nOURisment strategies
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Triggered Aortic Aneurysm Modelling Using 3D Vascular Tissues PhD Candidate – Genetically Triggered Aortic Aneurysm Modelling Using 3D Vascular Tissues. Our goal: Advance personalised aortic therapeutics
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Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata into actionable answer maps. Join our ERC-funded
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researcher will perform cutting-edge research in computational modeling methods applied to regenerative medicine and more specifically, to bone regeneration. PhD in Computational Modelling of Bone Regeneration
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-vulnerability model provides a more comprehensive framework for understanding IS occurrence, distinguishing three key components: (1) risk factors that drive the long-term development of atherosclerosis, (2
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-analytic purposes and questions; collaborate with a technical assistant, another PhD candidate (on geodata source modeling), and a postdoc (on the GeoQA reasoning engine). This position is ideal for someone