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Job description The Challenge As process industries transition to circular models, companies within Hubs for Circularity (H4C) need robust tools to navigate the financial complexities of industrial
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for Circularity (H4C) need robust tools to navigate the financial complexities of industrial symbiosis. This project aims to bridge financial modelling, AI, simulation, and circular business model innovation
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challenging, especially in dunes with complex topography. Your job In this 2-year postdoc position, you will use numerical modelling and machine learning techniques to increase the accuracy of coastal dune
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forming fundamental challenges. Physics-based models are too complex, while pure data driven models lack explainability, ultimately reducing the robustness. The proposed solution is the development of a
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about understanding how people perceive, move and make decisions in complex and uncertain environments? Do you enjoy combining experimental research with computational modelling to tackle fundamental
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capabilities interact with operational conditions, human intervention and the wider maritime and port logistics systems. The postdoctoral researcher will develop data-driven and model-based approaches to support
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directly guide functional validation studies performed by a second postdoctoral researcher using advanced human brain organoid models in the Artegiani-Hendriks group. The project is embedded within a large
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Are you interested in advanced rheological characterization, microstructure analysis, and modelling of complex food systems? In this postdoctoral project, you will combine fundamental science with
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from complex and heterogeneous waste streams. High-quality recycling increasingly depends on advanced sensing technologies that can accurately characterise scrap properties and identify alloy types
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and