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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in
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detailed catalyst characterization where APT (atom probe tomography) is a key technique. The catalyst will be tested in high hydrogen pressure reactors and the gas will be analysed with GC. A central part of
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tested in high hydrogen pressure reactors and the gas will be analysed with GC. A central part of the work will be detailed catalyst characterization. A wide range of methods will be used, including XRD
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. You will join the Mission 0 House project. The role is designed to actively contribute to the project's goal of achieving zero greenhouse gas emissions through the development and implementation
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be studied, aiming for a concentrated process gas suitable for carbon capture and utilization or storage. We are now seeking a postdoctoral researcher who will work on sampling and analysis of products
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, aiming for a concentrated process gas suitable for carbon capture and utilization or storage. We are now seeking a postdoctoral researcher who will work on sampling and analysis of products from several
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University. Last application date is 2025-07-15. Research description The postdoc position is supported by a new ERC Starting Grant, ARIMETH. The project aims to unravel how methane emissions form Arctic river
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intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP
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for material structuring – We investigate nanostructured soft materials using graphene and other high aspect ratio fillers to enhance antibacterial, electrical, thermal, mechanical, gas-barrier, and hierarchical