26 affective-computing-emotion Postdoctoral positions at University of Southern Denmark in Denmark
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pipelines, hydrogen pipelines, and crude oil transport) Evaluating sector coupling benefits, revenue stacking opportunities, and socio-economic impacts Publishing high-impact scientific articles and
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transport options (e.g., shipping from CO2 terminals) Publishing high-impact scientific articles and contributing to proposal development Engaging with industrial, infrastructure, and policy stakeholders Co
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orthopaedic surgery. This role combines medical imaging (ultrasound and MRI), computer-assisted surgical technologies, and the study of how bones and joints move. The targeted starting date is March 1, 2026
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standard documented through 1) publications in internationally high-quality journals, 2) presentations at international conferences and 3) dissemination with high visibility and broad social impact
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. The postdoc will play a central experimental role in the project and work closely with a dedicated postdoc supporting advanced computational analysis and interpretation of data. The position offers substantial
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chance to conduct high-impact research within a world-leading interdisciplinary consortium dedicated to improving the health and well-being of European citizens by identifying and addressing sociocultural
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to operate in harsh environments, for space applications. This project leverages state-of-the-art neuromorphic sensing and brain-inspired computing to enable a new generation of intelligent vision systems
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strong background in computational condensed matter physics. Experience with first-principles electronic structure methods and scientific programming is expected. The ideal candidate is highly motivated
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the development of sustainable bioelectrochemical technologies. The positions are part of the Microbial Electrochemical Methanation Initiative, a large collaborative research program funded by the Novo
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work