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material and processing costs. Contribute to the design, construction, and commissioning of a prototype setup for bulk production of selected promoter systems. Perform physicochemical characterization and
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. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic and inspiring international
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of catalysts using low dose-rate and dose atomic-resolution TEM. Linking 3D atomic structure, dynamics, and catalytic function of individual nanoparticles. Identifying and stabilizing uniquely active
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material and processing costs. Contribute to the design, construction, and commissioning of a prototype setup for bulk production of selected promoter systems. Perform physicochemical characterization and
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Dynamics under Compound ClimateImpacts is open for appointment from the 1 May 2026 or soonthereafter. The position is available for a period of 18 months with possibleextensionproviding a successful
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
fluxes and quantitative modeling thereof. It also includes the isolation of new alkalophilic and hydrogenotrophic methanogens and acetogens, as well as Knallgas bacteria, the construction and quantitative
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Energy’s state-of-the-art wave tank to characterise static and dynamic behaviour under wave and current loading. The experimental evidence will be used to validate a high-fidelity coupled load–structure
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and synchrotron-based experiments to study the dynamics of light-induced phase transitions on atomic and nanoscopic length-scales driven by optical and phononic excitation. The focus will be
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and carbon fluxes and quantitative modeling thereof. It also includes the isolation of new alkalophilic and hydrogenotrophic methanogens and acetogens, as well as Knallgas bacteria, the construction and
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see