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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the stated framework of the research project (max. 1-2 pages). Please note that although the application process can be completed on the Aarhus University system without uploading publications or a teaching
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. Collect and process environmental and insect samples for DNA sequencing. Analyse microbial communities associated with freshwater habi-tats and pollinators. Direct and support to the analysis of high
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://chem.au.dk/AmorphousMatLab What you will do The postdoc will co-lead beamtime proposals and campaigns, and will work with existing on-chip photonic device platforms in collaboration with project partners
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or have any questions about the recruitment process, please contact HR supporter Maria Løvgaard Bodin, Tel.: +45 8715 3445, Email: [email protected] Place of work Aarhus BSS Department of Management
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developers, and technical staff to improve instrumentation and user workflows Collect, process, and interpret SCXRD data for academic and industrial users Perform synchrotron-based single-crystal X-ray
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8 Jul 2026 Job Information Organisation/Company Aarhus University Department Department of Chemistry Research Field Chemistry Physics Researcher Profile First Stage Researcher (R1) Positions Postdoc
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recruitment process, please contact HR-Coordinator Maria Løvgaard Bodin, Tel.: +45 8715 3445, Email:[email protected] Place of work Aarhus BSS Department of Management Universitetsbyen 61 8000 Aarhus C Denmark
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structures, forms of organisation, argumentative strategies and historical distinctiveness remain insufficiently understood. The postdoc will be based at CFA and will work primarily on the work packages led by
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to the other phases of the research process, including in-person consumer testing of final prototypes, and to support the assessment of market trends, entry potential and societal positioning of fermented plant
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice