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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
pipelines in bioelectrochemical reactors defining and comparing high-performance phenotypes comparative and functional omics of the communities linking genotype and function to system-level performance
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OmniTrap MS Curate high-quality MS/MS datasets and perform detailed fragment ion interpretation Collaborate with computational researchers on downstream data interpretation and methodological refinement
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, through the rational design and optimization of microalgae-bacteria consortia, metabolic pathway regulation, nutrient partitioning, and bioreactor performance. You will become part of an international
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be contributing to specifically the area of phosphorus dynamics in agroecosystems, with an emphasis on the impacts of phosphorus management on crop performance and environmental losses. The main focus
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. size-selected cluster sources. Catalytic testing using ultra-sensitive chip-interfaced electrochemistry–mass spectrometry (EC–MS) and ultra-high-vacuum-compatible thermal catalytic setups. 3D atomic
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
group of researchers nationally and internationally Engage with commercial breeding organizations Publish high-quality research in peer-reviewed journals and at conferences Teach, and (co-)supervise BSc
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engineering to identify variants with high performance towards PFAS degradation. Enzyme immobilization for efficient and continuous enzymatic PFAS degradation in realistic water matrices and under water
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working on bridging this gap by investigating the biochemical properties of Asgard archaea proteins crucial to the understanding of their ecology and evolution. You will perform: heterologous expression in
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for this position will be: Solid modeling and design of high-performance integrated photonic devices Process development of low-loss photonic integrated circuits on different material platforms Heterogeneous
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
to update our scientific conceptual models. The data foundation will come from the long-term lake monitoring initiative LTER-DK, which includes several Danish lakes equipped with real-time and high-frequency