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transparency, accountability, and trust in model outputs has become imperative, especially in critical domains such as disaster risk management, social vulnerability mapping using satellite imagery, and
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you enjoy working on interdisciplinary research that bridges energy modelling with climate science, hydrology, risk analysis, and integrated assessment? Join us as a PhD candidate. Your job The rapid
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. Your job In this PhD position, you will conduct idealised experiments with an atmospheric model (OpenIFS), using concepts from the mathematical field of periodically forced dynamical systems. You will
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health and how these factors work. In this PhD project, you will explore how Google Street View imagery, 3D urban mapping, and Vision Transformer (ViT) AI models can be used to enrich Exposome Maps with
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this project, you will as PhD researcher conduct research on developing an agent-based model simulating the HPAI intervention and involving relevant actors in the poultry value chain. Research will consist
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. This requires an understanding of material flows and qualities. This project will develop the tools to model in sufficient detail the steel flows and evaluate the role and contribution of changes in (production
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to the full development pipeline: from algorithm design and implementation to clinical integration and evaluation. You will also work on improving prognostic models using (neuro-symbolic) AI and develop
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drier with global warming. However, particularly in the vulnerable subtropical and mid-latitude regions, the state-of-the-art climate models produce simulations that differ not only in the magnitude, but
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that you contribute to the development of the Renovation Digital Twin concept (led by Saxion). Essential activities within your project will be to: · model data standards for design of renovations
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on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in