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the CO2 capture group and contribute to both fundamental and applied aspects of solvent screening and evaluation. Your primary tasks will be to: Screening and conduct experimental studies on absorption and
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in relation to the position, and intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with an indication
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primary focus on software architecture and signal processing. You will work closely with our international team of collaborators to ensure the system meets the rigorous requirements for clinical skin sample
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Master of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver
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design and scaling for electromethanogenesis. The position is based at the main campus at Aarhus University and is expected to begin on 1 May 2026, or as soon as possible thereafter. The postdoc will be
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design and scaling for electromethanogenesis. The position is based at the main campus at Aarhus University and is expected to begin on 1 May 2026, or as soon as possible thereafter. The postdoc will be
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
healthy work-life balance. Place of work and area of employment Main campus of Aarhus University at C.F. Møllers Allé 3, 8000 Aarhus C, Denmark Contact information For further information, please contact
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-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
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aerosol modules, and assess the importance of different processes with a comparison to available observations. Analyse large model output and observational datasets to determine the impacts and main drivers
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aerosol modules, and assess the importance of different processes with a comparison to available observations. Analyse large model output and observational datasets to determine the impacts and main drivers