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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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this process. As a key member of the project, the successful candidate will design, execute, and analyse experiments to generate genetic and molecular insights into symbiotic interactions; communicate results
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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If you need help uploading your application or have any questions about the recruitment process, please contact HR supporter Ulla Prisholm Bjørn Tel.: +45 87152179 Email: upb@au.dk. Place of work The place
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information For further information, please contact Jaco van de Pol, jaco@cs.au.dk Andreas Pavlogiannis, pavlogiannis@cs.au.dk Bas Spitters, spitters@cs.au.dk Application procedure Shortlisting is used
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processes and nanomaterial functionalization. Comprising around 20 members - including PhD students, postdocs, and technical staff - the group fosters a collaborative, interdisciplinary environment focused
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, including: Participate in the design and detailed engineering phases of up-scale microbial electrochemical reactors. Support commissioning, operation and testing of the up-scale microbial electrochemical
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contributions to research design, pre-registration, the process of seeking ethical approval for the research, writing, data collection, analysis, publication, and public outreach Lead and co-author studies