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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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text analysis and examine digital communication practices more broadly, contributing to cutting-edge insights into health and wellbeing at work. We are looking for a talented candidate to join the Work
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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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-oriented mindset, and a passion for (scientific) challenges, you are the right person for us. Our lab develops technologies that integrate advanced imaging, computational analysis, and single-cell & spatial
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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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students in broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health
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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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-analytical characterisation of the resulting digesta, including LC/MSMS-based peptidomics; in-silico analysis of peptide functionality, e.g. using functionality databases and/or molecular docking. You will
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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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for collaboration, critical analysis, reflection, and learning.