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references: [1] Kamber et al., Science 368, eaay6757 (2020), Self-induced spin glass state in elemental and crystalline neodymium. [2] Hauptmann et al., Nature Commun. 11, 1197 (2020), Quantifying exchange
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Discrete Element Method (DEM) models to simulate the charging and formation of multi-component, poly-disperse burden mixtures in the blast furnace. The goal is to optimize burden structure and permeability
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global CO₂ emissions, largely due to its dependence on clinker—the key constituent of conventional cement. To accelerate the decarbonization of construction materials, the C-Sink Project (funded under
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includes analysis of Flora Batava records, which contain some of the oldest plant distribution data in the Netherlands. Based on an assessment of available data, the postdoc will help determine the
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-term potential. This analysis will serve as a critical input for the development of a robust, evidence-based EO commercialisation strategy. The activity will also aim to bridge cutting-edge macroeconomic
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on the project outline, the Postdoc is encouraged to shape the project according to his or her own ideas. Also, other methods (e.g., document or content analysis of digital communication) are possible depending
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Job description The cement industry is a major contributor to global CO₂ emissions, largely due to its dependence on clinker—the key constituent of conventional cement. To accelerate
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for collaboration, critical analysis, reflection, and learning.
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., document or content analysis of digital communication) are possible depending on the candidate’s expertise, research interests and data availability. What will you do You will be working on a sub-project of
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with