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journals. Design, plan, and perform in vivo experiments using transgenic mouse models, including administration of experimental treatments and collection of blood, urine, and tissue samples. Conduct in vitro
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main tasks will consist of: Independent research of high international quality, including publication. As a postdoc you will perform cutting edge research using technologies such as spectral flow
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or similar is therefore required • A substantial fraction of the technical part will be handled on high performance computers and the AI supercomputer GEFION, all operated in a Linux Environment. Documented
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. Contributing to community-based rating systems and continuous feedback loops through which citizens evaluate food providers' sustainability performance. Leading the evaluation of consumer engagement pathways
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with high international impact. We perform world-class research, which contributes with solutions to solve essential societal challenges within the green transition: food production and veterinary
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for downstream sequencing and imaging. Performing MALDI mass spectrometry and spatial transcriptomics to characterize biological niches within mouse and human tissue samples. Performing quantitative imaging
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strategies across Denmark, which includes but not limited to nitrification inhibitors and other fertilizer management strategies. A key part of this work will be performing uncertainty analysis and model
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computational model outputs and evaluating model performance using appropriate quantitative methods. We expect you have the ability and willingness to collaborate closely with agent-based modellers, experimental
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. The position is part of the EU-funded EVOLVE project and focuses on controlled-environment biological testing of extracellular vesicles as a non-GMO platform for steering plant performance and plant-microbe
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pragmatic, iterative mindset - prioritising what works empirically and is testable over purely theoretical correctness. Valued: Experience with high performance computing (HPC). Prior exposure to mass