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, sustainability, and care, our work is aimed at creating spaces for collaboration, critical analysis, reflection, and learning. We are an equal opportunity employer and value diversity at our university. We do not
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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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& Computer Science of the Eindhoven University of Technology in the field of “Geometric Learning for Image Analysis”.The two year postdoc position is part of VICI Project (VI.C. 202-031, PI: R.Duits) and will
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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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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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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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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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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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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