272 affective-computing-"https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions 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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state-of-the-art experimental platforms and contribute to the development of novel diagnostic biosensors and cancer-focused nanomaterial platforms with strong potential for clinical impact
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impact. At DTU Chemical Engineering, you will join a dynamic research environment at CERE (Centre for Energy Resources Engineering), working at the forefront of solvent development for CO2 capture. You
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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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species as a marine mitigation measure for eutrophication. The section is divided into two research groups: "Sustainable Resource Utilization" and "Environmental Impact and Habitats". The section is in two
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. The department strives for excellence. We won several ERC grants as principal investigator during the last two years, and are participating in many more. We transform this our research into societal impact through
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scientific work. The project will involve experimental and computational work, and the candidate is expected to be comfortable with working independently with both. Practical experience with structural biology
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science or similar. The Department of Chemistry at Aarhus University (www.chem.au.dk) is one of the leading European chemistry departments with a broad research program. It is undertaking a restructuring
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling