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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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of this project is to identify commensal bacteria in hydathodes, and to characterize their role in plant protection. Going beyond descriptive microbiota analysis from entire leaves, you will isolate bacteria
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, or a related discipline. You have experience with both quantitative survey research (design, implementation, and analysis) and qualitative, participatory methods (e.g. walk-along interviews, co-creation
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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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Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science & Technology, Nanoscience, Chemical
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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
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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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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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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